Multi-modal sensory feedback system for upper limb amputees
(2017) 1st New Generation of CAS, NGCAS 2017 p.193-196- Abstract
Providing sensory feedback for myoelectric prosthetic users can not only increase the manipulation ability but can also introduce a feeling of embodiment. Previous research has demonstrated the feasibility of providing mechanotactile or vibrotactile feedback on the remaining stumps of amputees. To improve the recognition rate and reduce mental work load when identifying stimulation patterns, we propose a multi-modal sensory feedback system for upper limb amputees. The system consists of five tactile sensors, Bluetooth wireless communication modules, and a custom-designed multi-modal stimulation array incorporating vibrotactile and mechanotactile stimulation modalities. Three amputees (two with phantom map and one without phantom map)... (More)
Providing sensory feedback for myoelectric prosthetic users can not only increase the manipulation ability but can also introduce a feeling of embodiment. Previous research has demonstrated the feasibility of providing mechanotactile or vibrotactile feedback on the remaining stumps of amputees. To improve the recognition rate and reduce mental work load when identifying stimulation patterns, we propose a multi-modal sensory feedback system for upper limb amputees. The system consists of five tactile sensors, Bluetooth wireless communication modules, and a custom-designed multi-modal stimulation array incorporating vibrotactile and mechanotactile stimulation modalities. Three amputees (two with phantom map and one without phantom map) tested the system in localization and stimulation intensity identification tasks. Experimental results show the effectiveness of the multi-modal stimulation compared with single modal stimulation. To the best of our knowledge, this is the first attempt to combine vibrotactile and mechanotactile stimulation in a sensory feedback system for upper limb amputees.
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- author
- Huang, Huaiqi ; Li, Tao ; Bruschini, Claudio ; Enz, Christian ; Justiz, Jorn ; Antfolk, Christian LU and Koch, Volker M.
- organization
- publishing date
- 2017-09-26
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Multi-modal, Sensory feedback, Upper limb amputee
- host publication
- Proceedings - 2017 1st New Generation of CAS, NGCAS 2017
- article number
- 8052302
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 1st New Generation of CAS, NGCAS 2017
- conference location
- Genova, Italy
- conference dates
- 2017-09-06 - 2017-09-09
- external identifiers
-
- scopus:85034438574
- ISBN
- 9781509064472
- DOI
- 10.1109/NGCAS.2017.62
- language
- English
- LU publication?
- yes
- id
- ef755189-9d84-452c-952d-5379516f4468
- date added to LUP
- 2017-12-08 12:33:41
- date last changed
- 2022-04-25 04:19:03
@inproceedings{ef755189-9d84-452c-952d-5379516f4468,
abstract = {{<p>Providing sensory feedback for myoelectric prosthetic users can not only increase the manipulation ability but can also introduce a feeling of embodiment. Previous research has demonstrated the feasibility of providing mechanotactile or vibrotactile feedback on the remaining stumps of amputees. To improve the recognition rate and reduce mental work load when identifying stimulation patterns, we propose a multi-modal sensory feedback system for upper limb amputees. The system consists of five tactile sensors, Bluetooth wireless communication modules, and a custom-designed multi-modal stimulation array incorporating vibrotactile and mechanotactile stimulation modalities. Three amputees (two with phantom map and one without phantom map) tested the system in localization and stimulation intensity identification tasks. Experimental results show the effectiveness of the multi-modal stimulation compared with single modal stimulation. To the best of our knowledge, this is the first attempt to combine vibrotactile and mechanotactile stimulation in a sensory feedback system for upper limb amputees.</p>}},
author = {{Huang, Huaiqi and Li, Tao and Bruschini, Claudio and Enz, Christian and Justiz, Jorn and Antfolk, Christian and Koch, Volker M.}},
booktitle = {{Proceedings - 2017 1st New Generation of CAS, NGCAS 2017}},
isbn = {{9781509064472}},
keywords = {{Multi-modal; Sensory feedback; Upper limb amputee}},
language = {{eng}},
month = {{09}},
pages = {{193--196}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Multi-modal sensory feedback system for upper limb amputees}},
url = {{http://dx.doi.org/10.1109/NGCAS.2017.62}},
doi = {{10.1109/NGCAS.2017.62}},
year = {{2017}},
}