Smart soccer telegraph

OLUKUNLE AYODEJI OGUNDELE

Kunle

Cert. Sci. Nat.

Alias: Initial idea presented at

January 15, 2016

AGT Group (R&D) GmbHHilpertstr. 35 | 64295 Darmstadt | Germany

CreativityMotivation:Genesis 1:1 “In the beginning God created the heaven and the earth”

zinmanship@yahoo.co.ukEmail:

SMART SOCCER TELEGRAPH

ACADEMIC BACKGROUND

PAST PROJECTS

ENTERPRISE GIS FOR HEALTH MONITORING & EVALUATION

Data Integration Public Health Aggregate Data Disease Survey Data Spatial Data

Mapping Process Automation Data Extraction from DHIS Integration of ArcGIS and QGIS

Data Visualization StatPlanet Viewer Implementation ArcGIS

FHI Enterprise GIS Bed net Distribution

Bed-net Distribution Logistics Disease Survey Data Spatial Data

Mapping Process Automation Data Collection with tools Integration of Mobile GIS

Data Analysis and Visualization ArcGIS

National Malaria Control Program

@FHI360 (Nigeria)

DISEASE OUTBREAK PREDICTION WITH SWE

Sensor Event Service (SES)

Onchocerciasis V. Lifecycle

SWE: Sensor Web Enablement

Use case of a healthcare worker in an African village

@IFGI, Uni-Muenster (Germany)

DISEASE OUTBREAK PREDICTION WITH SWE

Project Focus

ONTOLOGY-BASED APPROACH TO ADHERENCE BEHAVIOUR MODELLING

Computer Science Semantic Model Web Ontology Language (OWL) Predictive Model

Behavioural Science Adherence Behaviour Influencing Factors

Public Health Evidence-based Intervention Tuberculosis Control Patient Management

Applied Research : “Computer Science + Behavioural Science + Public Health Science”

@HeAL Lab, UKZN (South Africa)

ONTOLOGY-BASED APPROACH TO ADHERENCE BEHAVIOUR MODELLING

Implemented with Protégé Tool

SMART SOCCER TELEGRAPH

SMART SOCCER TELEGRAPH

Smart soccer telegraph is a web based soccer viewing alternative that display live matches, scores and other information using data from augmented soccer games.

USE CASES

Viewing alternatives for soccer fansNear real time side-line support for CoachesData support for soccer analystsData support for game IndustriesAugmented realities

USE CASE DESCRIPTIONA typical userSoccer fans with resource constraints

PlatformsSmart mobile phone/ Tablets/ Computer

Internet AccessLow bandwidth, mostly mobile internet plans

Viewing toolMobile Phone App / Web App (website)

Viewing alternatives for soccer fans

A user conduct a search using the match fixture information, the request is sent to the server and is used to query the data available in the store. The response the user get back is a streamed match (live or old matches)

Access Description

SYSTEMDESIGN

SEMANTIC DATA MODEL

Positioning data

Person profile

Match Info

DATA SOURCES

Positioning data ( Sensor - RFID AND WiFi) Players Movement on the pitch (Location fingerprinting)

Person profile (Linked data – example: DBPedia) Soccer Player profile e.g. http://live.dbpedia.org/page/Wayne_Rooney Club Profile e.g. http://dbpedia.org/page/Manchester_United_F.C.

Match information (Tournament website - BPL) Football matches & fixtures e.g. http://www.premierleague.com/en-gb.html

POSITIONINGDATA SOURCE

DATA ILLUSTRATION

SENSOR DATA SENSOR OBSERVATION RDF

THANK YOU