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Grant: Idea to Innovation

Brock University

$20,000.00

L2M NSERC - Emergence AI

FY 2022-23

Summary
Human movement practitioners have often relied on subjective methods of evaluation to assess their athletes and clients, these methods lack the objectivity and sensitivity to truly optimize performance. Recent advancements in motion capture technology allow for high-quality 3D kinematics to easily be obtained using wearable sensors and cellphone video. Despite this practitioner still rely on subjective methods of evaluation this is because the data analysis framework utilized by these technologies fail to provide information regarding the coordinative patterns that make up movement technique.To this point, practitioners have been reaching for tools to help objectively diagnose movement problems with little success. Recently, we have created the first data-driven coaching tool to provide practitioners with real-time objective feedback. Our product exists at the cross-section of two sectors, the Sports Analytics sector, and the Fitness tracking sector. The Sports Analytics market is worth approximately $889.4 M and is expected to grow 21.3% from 2021 to 2028. The Fitness Tracking industry is worth $4.3 billion USD and is expected to grow 15.4% between 2021 to 2028. Suggesting that the need for objective tracking of human movement is much needed and can be leveraged as an impactful tool to optimize sport performance and health/fitness.Our product uses novel wearable sensors, and computer vision algorithms to collect high-quality 3D kinematics using low-cost equipment such as a cell phone.We then take the data obtained from these sources and implement them into our custom algorithm to provide real-time feedback to practitioners. The data can then be stored and used to create an individualized movement report that can be used to track and communicate changes to an individual's movement pattern over time.
Program
Idea to Innovation
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
576592-2022
Name nom
Beaudette, Shawn SM
Department département
Kinesiology
Organization id
22
Institution établissement
Brock University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
20000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
1903
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomechanics
Research subject fr
Biomécanique
Installment
inst:1
Partie
1
Nb partie
1
Application title
L2M NSERC - Emergence AI
Application summary
Human movement practitioners have often relied on subjective methods of evaluation to assess their athletes and clients, these methods lack the objectivity and sensitivity to truly optimize performance. Recent advancements in motion capture technology allow for high-quality 3D kinematics to easily be obtained using wearable sensors and cellphone video. Despite this practitioner still rely on subjective methods of evaluation this is because the data analysis framework utilized by these technologies fail to provide information regarding the coordinative patterns that make up movement technique.To this point, practitioners have been reaching for tools to help objectively diagnose movement problems with little success. Recently, we have created the first data-driven coaching tool to provide practitioners with real-time objective feedback. Our product exists at the cross-section of two sectors, the Sports Analytics sector, and the Fitness tracking sector. The Sports Analytics market is worth approximately $889.4 M and is expected to grow 21.3% from 2021 to 2028. The Fitness Tracking industry is worth $4.3 billion USD and is expected to grow 15.4% between 2021 to 2028. Suggesting that the need for objective tracking of human movement is much needed and can be leveraged as an impactful tool to optimize sport performance and health/fitness.Our product uses novel wearable sensors, and computer vision algorithms to collect high-quality 3D kinematics using low-cost equipment such as a cell phone.We then take the data obtained from these sources and implement them into our custom algorithm to provide real-time feedback to practitioners. The data can then be stored and used to create an individualized movement report that can be used to track and communicate changes to an individual's movement pattern over time.