Presentation 2020-05-14
An accessibility evaluation of a wheelchair with the sensing acceleration data
Kazuyuki Kaneda, Masaharu Kamohara, Osamu Shiku, Toru Kobayashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We analyze the frequency component of acceleration data for a vibration sensor in a wheelchair, and create the spectrogram images which are constructed by the frequency and the time components of the acceleration data for the wheelchair. Using these spectrogram images, we make an evaluation model for the classification for the vibrations of the wheelchair on running places by the deep learning. In the model making, to evaluate the stress level for wheelchair running, we perform the questioner survey to the persons who are passed on the roads by the wheelchair, and asked them the classification of their accessibility as a wheelchair user, and make an evaluation model according to these classifications. Using the obtained evaluation model, we perform the running experiments with the wheelchair, and evaluate the accessibility of the wheelchair at points on the experiment roads.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Wheelchair / Acceleration Data / Frequency Spectrum / Spectrogram Image / Classification
Paper # LOIS2020-2
Date of Issue 2020-05-07 (LOIS)

Conference Information
Committee LOIS / IPSJ-SPT / IPSJ-GN
Conference Date 2020/5/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tomohiro Yamada(NEL) / Masatoshi Terada(Hitachi) / Noriaki Saito(Tokyo Online Univ.)
Vice Chair Toru Kobayashi(Nagasaki Univ.)
Secretary Toru Kobayashi(Research Organization of Information and Systems) / (NTT) / (Toho Univ.)
Assistant Kenichi Arai(Nagasaki Univ.)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Security Psychology and Trust / Special Interest Group on Groupware and Network Services
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An accessibility evaluation of a wheelchair with the sensing acceleration data
Sub Title (in English)
Keyword(1) Wheelchair
Keyword(2) Acceleration Data
Keyword(3) Frequency Spectrum
Keyword(4) Spectrogram Image
Keyword(5) Classification
1st Author's Name Kazuyuki Kaneda
1st Author's Affiliation National Institute of Technology, Sasebo College(NIT, Sasebo College)
2nd Author's Name Masaharu Kamohara
2nd Author's Affiliation National Institute of Technology, Sasebo College(NIT, Sasebo College)
3rd Author's Name Osamu Shiku
3rd Author's Affiliation National Institute of Technology, Sasebo College(NIT, Sasebo College)
4th Author's Name Toru Kobayashi
4th Author's Affiliation Graduate School of Engineering, Nagasaki University(Nagasaki Univ.)
Date 2020-05-14
Paper # LOIS2020-2
Volume (vol) vol.120
Number (no) LOIS-15
Page pp.pp.7-11(LOIS),
#Pages 5
Date of Issue 2020-05-07 (LOIS)