DocumentCode
3189766
Title
Directional vs non-directional modes of vibrotactile feedback for arm posture replication
Author
Causo, Albert ; Tran, Le Dung ; Yeo, Song Huat ; Chen, I-Ming
Author_Institution
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2012
fDate
24-27 June 2012
Firstpage
303
Lastpage
308
Abstract
This paper presents an integrated system for upper limb rehabilitation which uses small inertia-based sensors and vibrotactile feedback devices. Vibrotactile feedback is incorporated together with two Inertial Measurement Units (IMUs) attached at the upper arm and the forearm to measure arm motions. The whole arm posture is modeled using three parameters - wrist position, elbow position, and forearm´s orientation. Two different strategies of utilizing vibrotactile feedback for arm posture replication are discussed in this paper. The vibrotactile feedback is used firstly as a directional indicator and secondly as a non-directional indicator that informs the user of matching errors between the current posture and the target posture. The experiments involve seven student volunteers replicating five different arm postures. Results show that the non-directional vibrotactile feedback enables faster and more accurate arm posture correction.
Keywords
biomechanics; biosensors; feedback; patient rehabilitation; position measurement; tactile sensors; IMU; arm motions measurement; arm posture correction; arm posture replication; directional indicator; elbow position; forearm orientation; inertia-based sensors; inertial measurement units; matching errors; nondirectional indicator; target posture; upper limb rehabilitation; vibrotactile feedback devices; wrist position; Actuators; Educational institutions; Elbow; Sensors; Shoulder; Vibrations; Wrist;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
Conference_Location
Rome
ISSN
2155-1774
Print_ISBN
978-1-4577-1199-2
Type
conf
DOI
10.1109/BioRob.2012.6290892
Filename
6290892
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