Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor
Biologically inspired robotic hands have important applications in industry and biomedical robotics. The grasping capacity of robotic hands is crucial for a robotic system. This paper presents an experimental study on the finger force and movements of a human hand during the grasping operation in re...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/55846/ http://psasir.upm.edu.my/id/eprint/55846/1/8-JTS%28S%29-0084-2016-4thProof.pdf |
| _version_ | 1848852916389019648 |
|---|---|
| author | Saidon, Nur Farah Elya Wada, Chikamune Ahmad, Siti Anom Abdul Rahman, Ribhan Zafira Eguchi, Kiyotaka Tomiyama, Yoshiyuki Abd Rahman, Farida Izni |
| author_facet | Saidon, Nur Farah Elya Wada, Chikamune Ahmad, Siti Anom Abdul Rahman, Ribhan Zafira Eguchi, Kiyotaka Tomiyama, Yoshiyuki Abd Rahman, Farida Izni |
| author_sort | Saidon, Nur Farah Elya |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Biologically inspired robotic hands have important applications in industry and biomedical robotics. The grasping capacity of robotic hands is crucial for a robotic system. This paper presents an experimental study on the finger force and movements of a human hand during the grasping operation in real-time. It focuses on two topics; measuring grasping force using Flexi-force sensors and analysing human hand action during grasping operation. The findings show that lifting required higher forces compared with grasp force in the static phase. |
| first_indexed | 2025-11-15T10:45:41Z |
| format | Article |
| id | upm-55846 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:45:41Z |
| publishDate | 2017 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-558462017-07-05T04:00:53Z http://psasir.upm.edu.my/id/eprint/55846/ Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor Saidon, Nur Farah Elya Wada, Chikamune Ahmad, Siti Anom Abdul Rahman, Ribhan Zafira Eguchi, Kiyotaka Tomiyama, Yoshiyuki Abd Rahman, Farida Izni Biologically inspired robotic hands have important applications in industry and biomedical robotics. The grasping capacity of robotic hands is crucial for a robotic system. This paper presents an experimental study on the finger force and movements of a human hand during the grasping operation in real-time. It focuses on two topics; measuring grasping force using Flexi-force sensors and analysing human hand action during grasping operation. The findings show that lifting required higher forces compared with grasp force in the static phase. Universiti Putra Malaysia Press 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55846/1/8-JTS%28S%29-0084-2016-4thProof.pdf Saidon, Nur Farah Elya and Wada, Chikamune and Ahmad, Siti Anom and Abdul Rahman, Ribhan Zafira and Eguchi, Kiyotaka and Tomiyama, Yoshiyuki and Abd Rahman, Farida Izni (2017) Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor. Pertanika Journal of Science & Technology, 25 (spec. Jan.). pp. 69-76. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(S)%20Jan.%202017/8-JTS(S)-0084-2016-4thProof.pdf |
| spellingShingle | Saidon, Nur Farah Elya Wada, Chikamune Ahmad, Siti Anom Abdul Rahman, Ribhan Zafira Eguchi, Kiyotaka Tomiyama, Yoshiyuki Abd Rahman, Farida Izni Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor |
| title | Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor |
| title_full | Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor |
| title_fullStr | Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor |
| title_full_unstemmed | Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor |
| title_short | Real-time human motion analysis and grasping force using the OptiTrack system and Flexi-force sensor |
| title_sort | real-time human motion analysis and grasping force using the optitrack system and flexi-force sensor |
| url | http://psasir.upm.edu.my/id/eprint/55846/ http://psasir.upm.edu.my/id/eprint/55846/ http://psasir.upm.edu.my/id/eprint/55846/1/8-JTS%28S%29-0084-2016-4thProof.pdf |