This is a project idea of creating a smart soccer telegraph for the benefit of those with limited access to high bandwidth internet (e.g. developing countries). The project combines several technologies to digitalise the game of soccer and provide augmented visualisation of the game from semantic stream data.
1. OLUKUNLE AYODEJI OGUNDELE
Kunle
Cert. Sci. Nat.
Alias:
Initial idea presented at
January 15, 2016
AGT Group (R&D) GmbH
Hilpertstr. 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
4. 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)
5. 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)
7. 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)
10. 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.
11. USE CASES
Viewing alternatives for soccer fans
Near real time side-line support for Coaches
Data support for soccer analysts
Data support for game Industries
Augmented realities
12. USE CASE
DESCRIPTION
A typical user
Soccer fans with resource constraints
Platforms
Smart mobile phone/ Tablets/ Computer
Internet Access
Low bandwidth, mostly mobile internet plans
Viewing tool
Mobile 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
15. 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