Interaction design for automatic tracking of free weight exercises using computer vision and IoT systems
(2022) MAMM01 20221Ergonomics and Aerosol Technology
- Abstract
- Computer vision is on the cusp of revolutionizing several different markets through its applications. One such market is that of fitness and exercise. Advagym, Sony's connected gym solution is currently employing IoT solutions to track exercises in a gym environment. Together with Sony's R\&D Center Lund Laboratory's computer vision- and machine learning-equipped tracking system - they are exploring solutions to free weight exercise tracking.
Using a human-centered design process - several iterations of prototypes with varying degrees of fidelity were developed, in order to find and evaluate a solution that would enable Advagym to offer an automatic free weight exercise tracking solution to its users. The final iteration of the... (More) - Computer vision is on the cusp of revolutionizing several different markets through its applications. One such market is that of fitness and exercise. Advagym, Sony's connected gym solution is currently employing IoT solutions to track exercises in a gym environment. Together with Sony's R\&D Center Lund Laboratory's computer vision- and machine learning-equipped tracking system - they are exploring solutions to free weight exercise tracking.
Using a human-centered design process - several iterations of prototypes with varying degrees of fidelity were developed, in order to find and evaluate a solution that would enable Advagym to offer an automatic free weight exercise tracking solution to its users. The final iteration of the prototypes was implemented as a fully-functional smartphone application running on the iOS and Android operating systems. The application leveraged both Advagym's IoT devices and the Sony's R\&D Center Lund Laboratory's tracking system in order to deliver on its purpose.
Four final prototypes were put through a usability test with 20 participants in order to evaluate several modes of interaction and user interfaces that enabled the automatic free weight exercise tracking. The test showed that the prototype had an above average user experience - and 90\% of the test participants would like to use a system such as the one proposed, if it existed on the market. (Less) - Popular Abstract (Swedish)
- På senare tid har framsteg inom computer vision tillåtit datorer att se och förstå vår omvärld på olika sätt, i realtid. Detta innebär att vi befinner oss i en spännande, utforskande fas när det gäller teknikens applikationer och vad som är möjligt. Advagym, Sonys uppkopplade gymlösning har tillsammans med Sonys R&D Center Lund Laboratory undersökt hur man med hjälp av Internet of Things (IoT) och computer vision kan skapa en lösning för automatisk tracking av friviktsövningar.
Men hur skall en användare interagera med en sådan lösning? Hur kan en användare förstå och få insyn i ett "osynligt" system? Ett förslag och en implementation av hur en sådan lösning hade kunnat se ut togs fram i detta arbete.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9087941
- author
- Mulder, Axel LU
- supervisor
- organization
- course
- MAMM01 20221
- year
- 2022
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Computer Vision, Interaction Design, IoT, Machine Learning, User Experience, User Interface
- language
- English
- id
- 9087941
- date added to LUP
- 2022-06-14 10:58:35
- date last changed
- 2022-06-14 10:58:35
@misc{9087941,
abstract = {{Computer vision is on the cusp of revolutionizing several different markets through its applications. One such market is that of fitness and exercise. Advagym, Sony's connected gym solution is currently employing IoT solutions to track exercises in a gym environment. Together with Sony's R\&D Center Lund Laboratory's computer vision- and machine learning-equipped tracking system - they are exploring solutions to free weight exercise tracking.
Using a human-centered design process - several iterations of prototypes with varying degrees of fidelity were developed, in order to find and evaluate a solution that would enable Advagym to offer an automatic free weight exercise tracking solution to its users. The final iteration of the prototypes was implemented as a fully-functional smartphone application running on the iOS and Android operating systems. The application leveraged both Advagym's IoT devices and the Sony's R\&D Center Lund Laboratory's tracking system in order to deliver on its purpose.
Four final prototypes were put through a usability test with 20 participants in order to evaluate several modes of interaction and user interfaces that enabled the automatic free weight exercise tracking. The test showed that the prototype had an above average user experience - and 90\% of the test participants would like to use a system such as the one proposed, if it existed on the market.}},
author = {{Mulder, Axel}},
language = {{eng}},
note = {{Student Paper}},
title = {{Interaction design for automatic tracking of free weight exercises using computer vision and IoT systems}},
year = {{2022}},
}