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Grant: Collaborative Research and Development Grants

Ryerson University

$80,000.00

Robust electronic scoring analysis system for recreational and professional taekwondo sports

FY 2017-18

Summary
Current Protector Scoring Systems (PSS) used in Taekwondo have many drawbacks. They do not account for all Taekwondo techniques, thereby encouraging athletes to perform only basic and repetitive Taekwondo techniques which are recognized by the system. This lack of combative creativity has decreased participation and spectator viewership. Due to these equipment limitations, the industry suffers as a whole. 20/20 Armor seeks to revive the Taekwondo industry through a novel scoring system which encourages active global participation. The main objective is to improve the PSS by implementing a high performance impact sensor within the chest protector and headgear. A piezoelectric foam sensor capable of measuring impact energy has been developed for this purpose. The aim is to develop a system which classifies and assesses all types of impact in order to display an impact-proportional score. Indeed, digital signal processing and analysis of sensor readings is fundamental to the detection and classification of impacts. Signal processing methods capable of providing robust analysis of sensor signals will be developed to remove noise and interferences, and to provide efficient pattern classification framework.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
505474-2016
Name nom
Krishnan, Sridhar
Department département
Electrical and Computer Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
80000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Partie
1
Nb partie
3
Application title
Robust electronic scoring analysis system for recreational and professional taekwondo sports
Keyword
NSERC
Application summary
Current Protector Scoring Systems (PSS) used in Taekwondo have many drawbacks. They do not account for all Taekwondo techniques, thereby encouraging athletes to perform only basic and repetitive Taekwondo techniques which are recognized by the system. This lack of combative creativity has decreased participation and spectator viewership. Due to these equipment limitations, the industry suffers as a whole. 20/20 Armor seeks to revive the Taekwondo industry through a novel scoring system which encourages active global participation. The main objective is to improve the PSS by implementing a high performance impact sensor within the chest protector and headgear. A piezoelectric foam sensor capable of measuring impact energy has been developed for this purpose. The aim is to develop a system which classifies and assesses all types of impact in order to display an impact-proportional score. Indeed, digital signal processing and analysis of sensor readings is fundamental to the detection and classification of impacts. Signal processing methods capable of providing robust analysis of sensor signals will be developed to remove noise and interferences, and to provide efficient pattern classification framework.
Ryerson University - $80,000 Grant (2017-18) | Canada Spends