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Multi-modal sensory feedback system for upper limb amputees

Huang, Huaiqi ; Li, Tao ; Bruschini, Claudio ; Enz, Christian ; Justiz, Jorn ; Antfolk, Christian LU and Koch, Volker M. (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
; ; ; ; ; and
organization
publishing date
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}},
}