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UCLA ELECTRICAL ENGINEERING DEPARTMENT: EE 180D: SYSTEMS DESIGN 1 I NTRODUCTION TO EE 180 D OUTLINE COURSE INFORMATION ........................................................................................................................ 2 Professor W. J. Kaiser ........................................................................................................................... 2 Course Web Site..................................................................................................................................... 2 Contact Information .............................................................................................................................. 2 Office Hours .......................................................................................................................................... 2 Location Information ............................................................................................................................. 2 TEACHING ASSISTANT ............................................................................................................................... 2 Contact Information .............................................................................................................................. 2 INTRODUCTIONS ..................................................................................................................................... 3 COURSE INFORMATION ........................................................................................................................ 3 Course Objectives: ................................................................................................................................ 3 Course Plan: .......................................................................................................................................... 4 Committments: ....................................................................................................................................... 4 Lecture Notes:........................................................................................................................................ 4 Course Output: ...................................................................................................................................... 4 Grading Plan: ........................................................................................................................................ 4 ATTENDANCE: ..................................................................................................................................... 5 Course Mission and engineering today: ................................................................................................ 5 Lecture rules: ......................................................................................................................................... 5 Laboratory Rules: .................................................................................................................................. 5 Project Participation Metrics:............................................................................................................... 6 Engineering Presentations .................................................................................................................... 6 SCHEDULE ................................................................................................................................................. 7 INTRODUCTION TO EMBEDDED NETWORKED SYSTEMS ......................................................... 8 DESIGN PROJECTS FOR 2015.............................................................................................................. 11 YOUR NEXT STEPS ................................................................................................................................ 12 LINUX, JAVA, ANDROID, AND SMARTPHONES ............................................................................ 13 GETTING STARTED ............................................................................................................................... 13 PROCESS FOR LEARNING: ................................................................................................................. 15 DOCUMENTATION ................................................................................................................................ 15 EE180D BACKGROUND: PROJECT HISTORY ................................................................................ 16 CLASS INTRODUCTIONS ..................................................................................................................... 16 EE180D WIRELESS HEALTH ............................................................................................................... 17 EE180D PROJECTS IN 2015 ................................................................................................................... 19
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Page 1: EE180D Winter 2015 Introduction

UCLA ELECTRICAL ENGINEERING DEPARTMENT: EE 180D: SYSTEMS DESIGN

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INTRODUCTION TO EE 180D

OUTLINE

COURSE INFORMATION ........................................................................................................................ 2  Professor W. J. Kaiser ........................................................................................................................... 2  Course Web Site ..................................................................................................................................... 2  Contact Information .............................................................................................................................. 2  Office Hours .......................................................................................................................................... 2  Location Information ............................................................................................................................. 2  

TEACHING ASSISTANT ............................................................................................................................... 2  Contact Information .............................................................................................................................. 2  

INTRODUCTIONS ..................................................................................................................................... 3  COURSE INFORMATION ........................................................................................................................ 3  

Course Objectives: ................................................................................................................................ 3  Course Plan: .......................................................................................................................................... 4  Committments: ....................................................................................................................................... 4  Lecture Notes: ........................................................................................................................................ 4  Course Output: ...................................................................................................................................... 4  Grading Plan: ........................................................................................................................................ 4  ATTENDANCE: ..................................................................................................................................... 5  Course Mission and engineering today: ................................................................................................ 5  Lecture rules: ......................................................................................................................................... 5  Laboratory Rules: .................................................................................................................................. 5  Project Participation Metrics: ............................................................................................................... 6  Engineering Presentations .................................................................................................................... 6  

SCHEDULE ................................................................................................................................................. 7  INTRODUCTION TO EMBEDDED NETWORKED SYSTEMS ......................................................... 8  DESIGN PROJECTS FOR 2015 .............................................................................................................. 11  YOUR NEXT STEPS ................................................................................................................................ 12  LINUX, JAVA, ANDROID, AND SMARTPHONES ............................................................................ 13  GETTING STARTED ............................................................................................................................... 13  PROCESS FOR LEARNING: ................................................................................................................. 15  DOCUMENTATION ................................................................................................................................ 15  EE180D BACKGROUND: PROJECT HISTORY ................................................................................ 16  CLASS INTRODUCTIONS ..................................................................................................................... 16  EE180D WIRELESS HEALTH ............................................................................................................... 17  EE180D PROJECTS IN 2015 ................................................................................................................... 19  

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COURSE INFORMATION

PROFESSOR W. J. KAISER

Background: Ford, JPL, UCLA - 1994 (Chairman 1996-2000) Research Programs with UCLA Undergraduate and Graduate Students: Networked Embedded Systems for applications in environmental monitoring, medical informatics, and others. Research

• Wireless sensor networks • Low power electronics including low power RF CMOS integrated systems • Low power sensor interface and signal processing circuits and systems • Microsensor systems • Energy Efficient Computing Systems • Wireless Health Systems and Institute

COURSE WEB SITE

Several resources to be provided. CONTACT INFORMATION

Office: 56-147L Engineering IV Cell Phone: 310-593-1967 E-mail (preferred): [email protected] Web: www.ee.ucla.edu/faculty/bios/kaiser.htm

OFFICE HOURS

Instructor will be present in all lab sessions on M, W, and Th.

LOCATION INFORMATION

M 10:00 12:00 E-IV 44-110 W 10:00 2:00 E-IV 44-110

TEACHING ASSISTANT

CONTACT INFORMATION

Michael Wasko [email protected]

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INTRODUCTIONS

• Your background • Your interests • Your goals for EE180D • Please select partner – laboratory teams will be student pairs provided with access to remotely

accessible embedded systems • Projects will include student groups

COURSE INFORMATION

COURSE OBJECTIVES:

1. Provide real world experience in engineering team-oriented design and development a. Focus on hands-on design and development

2. Course and Project Goals a. Co-developed with industry partners b. Projects directed to important healthcare impact, products, and business.

3. Provide experience in engineering program process a. Project Planning b. Algorithm Design c. Architecture Selection or Design d. System Design e. Interface Definition f. Team Software Development g. Progress tracking

4. Provide background in important technologies: a. Embedded computing systems b. Wireless networking technology c. Distributed systems d. Sensor technology e. The hardware/software interface f. Embedded system software

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COURSE PLAN:

1. Focus on real world experience in engineering team-oriented design task 2. Problems focused on both primary societal impact as well as commercial product

development 5. Some projects will be pursued in parallel with an objective for groups to obtain the

optimized design and best performance. 6. Students will have individual support as well as group support 7. Course projects include competition for best performance

COMMITTMENTS:

3. Instructor and Teaching Assistants a. Lecture presentation and answering questions b. Instruction and guidance in project planning c. Assistance with projects d. Individual support and group support e. Office hour support

4. Students: 1. Attendance at lectures and laboratories 2. Questions: In class, after class, office hours, and e-mail anytime and all the time 3. Feedback to instructor on any interests, concerns, requests, need for help 4. Effort in reviewing lectures, learning, and presentations

LECTURE NOTES:

1. Available at Course Web Site 2. In-Class combination of viewing notes electronically and use of whiteboard and

equipment

COURSE OUTPUT:

1. Engineering Design Documents with design, development, and test plans with revisions

2. Weekly Engineering Progress Journals describing plans and progress 3. Rapid Progress Report Summaries 4. Midterm individual technical presentations 5. Final individual technical presentations 6. Presentations describing, and demonstrating progress and understanding 7. System implementation demonstrating systematic development with reference to

design 8. System validation 9. Laboratory Exercise Homework in form of projects and problems

GRADING PLAN:

Project Participation (Subjective Measure based on Journal) 30%

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Midterm Presentation 20% Final Presentation, Demonstration, and Report 30% Laboratory Exercises and Laboratory Quizzes 20%

ATTENDANCE:

1) Signup attendance sheet – Collected within 10 Minutes

2) Maximum of four absences in two quarters. Each must be accompanied by an explanation in advance.

3) Excess of four absences will be mandatory grade reduction from A to A-, A- to B+, etc.

COURSE MISSION AND ENGINEERING TODAY:

1. Competition 2. Product evolution 3. Preparation for interviews 4. Preparation for graduate program application and research

LECTURE RULES:

1. Avoid late arrival or absence 2. In class review quizzes 3. No use of notebooks or workstations during lecture without explicit, prior permission 4. If lecture topics seem uninteresting, please contact the instructor and we can provide

background and adapt lectures

LABORATORY RULES:

1. Attention to EE180D topics a. No work on other courses or topics b. Use of all computing equipment is directed to EE180D – no examples of general

web browsing, etc. c. If there is an instance where you perceive your work is temporarily completed

and next steps are not identified, then you should immediately decide on next steps. There is never an excuse to be idle.

2. Always ensure that next steps on projects are known and that next actions are known to all a. Every lab session should end with your group reviewing all next steps, assignments, and

responsibilities. 3. Team Assessment on diligent progress towards committments

a. Frequent discussions with instructor and teaching assistant b. Each team member is expected to have completed assignments – for example

familiarization with a tool, development of software, or completion of measurements c. Status of any task will be asked of any team member. d. Everyone receives a check / no-check for having properly / improperly answered a

question

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PROJECT PARTICIPATION METRICS:

1. Documentation in Weekly Engineering Progress Journal: a. Documentation follows standard engineering team procedures b. Documentation should describe progress summary including problems discovered,

problems solved c. Documentation should cite references used. d. Include drawings and sketches

2. Focus in Laboratory: a. Must be committed to project and to supporting team members b. If you encounter an apparently unavoidable problem, let instructor know and we will find

a way to continue. c. Be prepared at all times to explain to your team members, Teaching Assistant, and

Instructor, your status, and plans in terms of our course topics and materials. d. Participation means know at all times exactly your objectives and those of your team. This means

always having the fullest possible understanding of your status, your role in the team, and your contributions to the group architecture and mission.

3. Project Progress Towards Goals a. Demonstration of ability to use available resources to seek a solution to requirements or

problems encountered (resources include team members, Teaching Assistant, Instructors)

b. Timely identification of challenges c. A project need not be completed according to an initial plan (since we may discover

unanticipated challenges.) The project may be descoped and replanned as we proceed. This may be acceptable, but, must only occur with timely notification and discussion.

ENGINEERING PRESENTATIONS

1. Rapid Weekly Progress Reporting (each Wednesday in BH5272) 2. Engineering presentations are critical to progress for engineers. Presentations are made to

colleagues, supervisors, management, customers, the engineering and education communities.

3. Midterm Presentation a) Description of Project Goals, Technical Approach, Schedule, Status b) Standard, formal, Powerpoint template c) Includes team demonstration

4. Final Presentation

a) Review of Project Goals, Technical Approach, Schedule, Status of Complete System b) Standard, formal, Powerpoint template c) Should include team demonstration that may take many possible forms

5. Presentation Metrics

a) Adequate description of Goals, Technical Approach, and Status in terms of course content and information derived from references

b) Ability to answer questions in terms of topics addressed in Lecture.

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SCHEDULE

Week Topics

1

• Course Introduction • Course Project Systems • Wireless Sensor Systems • Motion Sensing and Signal Processing Tools • Motion Classification Tools

2 • Sensing Principles • Sensor Technology

3 • Sensing Technology Continued • Introduction to Networked Embedded Systems and Embedded Processors

4 • Embedded Processor Architecture • Embedded Processor Performance and Code Optimization

5 • Embedded Linux Operating System • Midterm Presentations

6 • Midterm Presentations • Embedded Linux On-Line Laboratory Introduction

7 • Embedded Linux Memory Technology

8 • Embedded Linux Scheduling and Timing Technology

9 • Embedded Linux and Multicore Systems • Processor to Peripheral Interfaces: Device Drivers, Interrupts, Interrupt Operations

10 • Embedded Linux storage systems

11 • Project demonstrations and final presentations

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INTRODUCTION TO EMBEDDED NETWORKED SYSTEMS

1. Definition of Embedded Computers: Devices that are installed within other devices, instruments, structures, vehicles, or other assets to provide control capability, user interfaces, or other features. Embedded devices operate without displaying conventional computing interfaces or requirements. The notion that a computer is present may be hidden from the view of a user.

a. Vast range of past embedded applications i. Automotive vehicles carry as many as 60 processors in a high end vehicle ii. Transport aircraft rely on embedded FADEC (Fully Automated Digital Engine Control)

and automatic landing systems. iii. Medical devices including pacemakers carry embedded computers iv. Consumer products (toasters, musical instruments, electronically damped skis) v. Defense systems: unmanned aerial vehicles, security and communication systems

2. Evolution

a. Early systems: Almost all applications were standalone, fixed functionality systems

i. Limited processing capability (8 or 16 bit word length), limited memory (less then 1M), limited algorithm complexity and allowed typically only one operating process.

b. Moore’s Law progress has delivered high performance processor capability (32-bit word length), large memory capacity (8-64M), and “flash” memory, or compact hard disk storage.

c. This enables the embedded platform to host a complete operating system with many features and the ability to support multiple processes

d. Wireline networking has become inexpensive

e. Wireless networking has become inexpensive and is becoming pervasive

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3. Embedded Networked Systems may now be incorporated into a diverse array of products and structures.

a. Networked embedded systems may provide sensing, control, and communication.

b. Networked embedded systems may provide connectivity between the physical world assets and the Internet.

c. Networked embedded systems may exploit many forms of wireless communication to enable fast and convenient deployment and operation

d. Business motivators: new products, new services, improved services, safety and security.

4. Applications for embedded networked systems are pervasive

a. Healthcare: Monitoring of biomedical implants, instruments, patient care systems

b. Vehicle Systems: monitoring, user support

c. Security: Defense and civil security for asset management, intrusion detection, threat identification

d. Structures: Architectural systems

e. Entertainment Technology: Sensors and Displays

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f. Education

g. Environmental Monitoring

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DESIGN PROJECTS FOR 2015

Motivations:

1) State -o f - the -ar t pro j e c t that prepares ea ch s tudent fo r next s t eps in indus try or g raduate programs or bo th .

2) Pro j e c t o f pr imary nat iona l in t e r e s t

3) Exper i ence in embedded sys t em produc t deve lopment

4) Project that engages everyone as a team

5) Ample design opportunity

6) Ample support and training on each task

7) Many choices for design tasks

8) Provides exposure to full set of technologies

9) Each team member may focus on her or his area, but, has opportunity to view and learn about entire technology system.

End-to-End Product Development Focus

1) Wireless Health Systems

Technology Topics

1) Embedded Computing

2) Software system development for devices that autonomously sense, react, communicate, and cooperate.

3) Wireless Networking

4) Multiple network forms and applications

5) Sensing Systems

6) Multiple sensing principles, sensor types, and objectives

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YOUR NEXT STEPS

• This is a great time to learn about integrated hardware and software systems

• What will be the scope of our software development?

o Course Projects

§ We will be developing algorithms for mobile computing systems supporting wireless sensors.

§ Implementation will be supported by Matlab

o Laboratories:

§ We will be developing compact applications, but, ones that directly reveal the hardware software interface. This will include interfaces to mechanical systems, sensors, and to wireless networking.

§ Our processor platforms are accessible

§ Our operating system is Linux. Why?

• Most rapidly growing embedded operating system

• Primary component of all Android technology

• Open and accessible

• Available for modification

• Typical operating system environment for engineering tools

o Simulators

o Design automation tools

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LINUX, JAVA, ANDROID , AND SMARTPHONES

GETTING STARTED

• Primary project language includes Matlab

o Most important system design tool

• Primary laboratory language is C. Why?

o The operating system, modules, drivers, and utilities are developed in C. Some utilities are developed in shell scripts

o It is certain that understanding C will be a requirement in your career.

• You can start right away! You can also work from home.

• Embedded Networked Systems Design

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o G. Pottie and W. Kaiser

o Book royalties donated to HSSEAS

• Please purchase the la t e s t ed i t ion o f th i s book:

Beginning Linux Programming Authors

Neil Matthew, Richard Stones, Krishna Vedati Publisher

Wrox Press, Chicago IL and Birmingham GB

WWW book information with Source Code http://www.wrox.com/WileyCDA/WroxTitle/Beginning-Linux-Programming-4th-Edition.productCd-0470147628.html

• Other outstanding textbooks: o Operating Systems

§ Modern Operating Systems by A. S. Tanenbaum o Computer Engineering

§ Computer Organization and Design: The Hardware/Software Interface by Patterson and Hennessy.

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PROCESS FOR LEARNING :

• Our class will focus on hands on work

o Each day, M, W, and Th will include laboratory and interactive, collaborative, design and development with our team

o We will each have an opportunity to focus on areas of interest to each individual, while maintaining our team partnerships

o We will each have an opportunity to learn about the entire system, all the technologies, and contribute to all design decisions.

o A first key step is our work together to identify your interests.

o Your instructor will be working with each student.

• Experience from teaching project and design courses in the 10 week schedule indicates that the journal process is very effective.

DOCUMENTATION

• Design Document

• Engineering Journal Document

o Motivation for Maintaining an Engineering Journal

• Enables design by a team

• Enables efficient development

• Retention of material

• Organization of learning

• What to include:

• The Engineering Journal should be updated with the following:

o Any new findings and progress that modify analysis, algorithms, or any other concepts relating to our implementation approach, should be noted here. For example, a modification in a motion control algorithm, a new and complicating feature discovered in our radio system, or other finding will result in a modified approach.

o The documentation section should be updated also as new references, web sites, code examples, or other data is discovered and used.

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o The Progress section will be the part of the Engineering Journal that is updated most extensively. We would expect to see one or more pages of progress description every week. In a large team, there may about 1 page per team member. This section may be lengthy and detailed documentation here is important. Both successful developments and development paths that have been terminated should be noted. This is important for the entire team.

EE180D BACKGROUND: PROJECT HISTORY

1. EE180D Innovations

o Many inventions!

o Wireless Health

o Development of instructional technology

o Many graduate research opportunities and publications

o Lengthy development of unique platform for embedded system education by many graduate student and undergraduate student researchers

CLASS INTRODUCTIONS

Class survey to be distributed today.

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EE180D WIRELESS HEALTH

Wireless Health today combines novel sensing, embedded computing, wireless networking, and high performance enterprise computing to monitor physiological variables, infer subject status, detect disease conditions, and guide individuals towards the best treatment and promote health and wellness. This new frontier is directed to fundamentally advancing human performance for objectives in health, productivity, and even athletic achievement.

The capability for continuous monitoring of physiological status and detailed behavior combined with individualized guidance will have a fundamental impact on healthcare delivery. Indeed, the current time is historic in that in the future, for the first time, the outcomes of treatment, the decisions regarding healthcare pathways, the effectiveness and accuracy of clinical trials will all be affected by this new capability and forever change healthcare, medical research and education, and related fields. Research led by UCLA has invested early in the creation of the broad-based and fine-grained continuous monitoring and guidance methods. Services associated with continuous monitoring and guidance will soon empower all individuals to understand and promote their health and wellness, assure outcomes of treatment and rehabilitation, and advance human performance.

The Wireless Health field is virtually unprecedented in affording compelling research opportunities led by our clinician experts. Engineering research that provides solutions through development of fundamental algorithms, embedded computing hardware and software implementation, new sensing principles and new sensor systems, and complete system implementation and delivery to the healthcare enterprise. These research achievements are now also accompanied by delivery of systems that are serving many patients today in the US and in 12 other nations that my group supports in an international trial.

Monitoring of human activity is one of the most important objectives for Wireless Health. The Wireless Health Institute has established a lead in this area.

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The following is an abstract from a publication by our colleagues: Dr. Bruce Dobkin (Co-Director of UCLA WHI) and Dr. Andrew Dorsch.

Mobile health tools that enable clinicians and researchers to monitor the type, quantity, and quality of everyday activities of patients and trial participants have long been needed to improve daily care, design more clinically meaningful randomized trials of interventions, and establish cost-effective, evidence-based practices. Inexpensive, unobtrusive wireless sensors, including accelerometers, gyroscopes, and pressure-sensitive textiles, combined with Internet-based communications and machine-learning algorithms trained to recognize upper- and lower-extremity movements, have begun to fulfill this need. Continuous data from ankle triaxial accelerometers, for example, can be transmitted from the home and community via WiFi or a smartphone to a remote data analysis server. Reports can include the walking speed and duration of every bout of ambulation, spatiotemporal symmetries between the legs, and the type, duration, and energy used during exercise. For daily care, this readily accessible flow of real-world information allows clinicians to monitor the amount and quality of exercise for risk factor management and compliance in the practice of skills. Feedback may motivate better self-management as well as serve home-based rehabilitation efforts. Monitoring patients with chronic diseases and after hospitalization or the start of new medications for a decline in daily activity may help detect medical complications before rehospitalization becomes necessary. For clinical trials, repeated laboratory-quality assessments of key activities in the community, rather than by clinic testing, self-report, and ordinal scales, may reduce the cost and burden of travel, improve recruitment and retention, and capture more reliable, valid, and responsive ratio-scaled outcome measures that are not mere surrogates for changes in daily impairment, disability, and functioning. Dobkin BH, Dorsch A., “The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.”, Neurorehabil Neural Repair. 2011 Nov-Dec;25(9):788-98.

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EE180D PROJECTS IN 2015

A) Physiological Monitoring Acoustic Products a. Complete Abdominal Acoustic system characterization and development b. Acoustic Sensor Arrays and Array Signal Processing c. Acoustic Event Localization d. Sensor Technology: Principles, Tranducers, Interface Circuit Systems e. Human Digestive Abdominal Acoustics f. Respiratory Thoracic Acoustics

B) Dental Health Acoustics a. Gnathoacoustics b. Wearable systems c. Sensor Systems d. Signal Processing

C) Biomedical Fluid Management a. Pneumostat b. Transducer and Sensor Systems c. Optoelectronics d. Capacitive Sensing

D) Posture Monitoring a. Detect and guide posture b. Sedentary office workplace c. Standing posture d. Event-specific Athlete posture

E) Smart Exercise Band a. Precise and safe resistance training b. Neurological and Orthopaedic Rehab c. Complete end-to-end product development d. Trials

F) Managed Nutrition Guidance (includes physician guidance) a. Athlete b. Well Subject

i. Modeling of motility characteristics c. Nutrition Schedule and Quantity optimization

i. Athlete Nutrition (includes physician guidance) 1. Training 2. Preparation for Competion 3. Recovery 4. Sleep

G) ICR Human Performance a. Monitoring and Guiding Advancement in Heart and Lung Function by Training b. Measuring Heart Function in athletes c. Measuring Lung Function in athletes

i. Respiratory rate and depth H) General Purpose WHI Gateway Embedded Linux Platform

a. Intended to support broad objectives

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i. Analog sampling ii. Digital interfaces to auxiliary systems iii. Network interfaces iv. ARM QuadCore Instructional Platform

I) General Purpose Wireless Health Garment - Sensor Suit a. Integration of WHI components with wearable systems including wireless recharge b. Athletic applications

J) Fall Detection Risk Reduction for Clinic Room a. Detect motion b. Detect location c. Predict risk d. Provide warning interventions

K) PRIME System: Patient Monitoring and Guidance a. Addresses Grand Challenge in development of interventions for stress, migraine, and

depression.