Prabhu, Ghanashyama 
ORCID: 0000-0003-2836-9734
(2017)
Single inertial sensor for local muscular endurance (LME) exercise detection.
In: Insight Student Conference 2017, 8 Sept 2017, Cork, Ireland.
Abstract
An activity recognition framework based on machine learning to automatically recognize LME exercises and to count the repetitions using a wrist-worn inertial sensor is proposed. Fourteen binary classifiers are trained using optimized SVM models [1, 3] to recognize individual LME exercises, achieving overall accuracy of more than 98%.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Machine learning Engineering > Electronic engineering |
| DCU Faculties and Centres: | UNSPECIFIED |
| Published in: | 4th Insight Student Conference. Book of Abstracts 4. The Insight Centre for Data Analytics. |
| Publisher: | The Insight Centre for Data Analytics |
| Official URL: | http://studentconference2017.insight-centre.org/bo... |
| Copyright Information: | © 2017 The Author |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Science Foundation Ireland under Grant No. 12/RC/2289., ACQUIS BI |
| ID Code: | 22509 |
| Deposited On: | 03 Aug 2018 12:16 by Ghanashyama Prabhu . Last Modified 03 Aug 2018 12:16 |
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