Abstract
Walking is a vital exercise for health promotion and a fundamental ability necessary for everyday life. In previous work, we developed an OmniDirectional Walker (ODW) for walking rehabilitation and walking support. In walking support, it is necessary for the ODW to know the direction the user intends to go based on user manipulation. Actual directional intent must, however, be identified from physical manipulation because a user's directional intent and physical manipulation are not always mutually consistent. In this paper, a novel interface is proposed to recognize a user's directional intention according to the forearm pressures exerted to the ODW by the user with wrists and elbows. The forearm pressures are measured by 4 sensors embedded in the ODW's armrest. The relationship between forearm pressure and directional intention was extracted as fuzzy rules and an algorithm was proposed for directional intention identification based on distance-type fuzzy reasoning method. The effectiveness of the algorithm was verified by experimental reasoning results demonstrated to be consistent with intended directions.
| Original language | English |
|---|---|
| Pages (from-to) | 784-792 |
| Number of pages | 9 |
| Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
| Volume | 14 |
| Issue number | 7 |
| Publication status | Published - 2010 Nov |
Fingerprint
Keywords
- Directional intention identification
- Distance-type fuzzy reasoning method
- Knowledge radius
- OmniDirectional Walker
- Walking support
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
Cite this
Directional intention identification for running control of an OmniDirectional Walker. / Jiang, Yinlai; Wang, Shuoyu; Ishida, Kenji; Ando, Takeshi; Fujie, Masakatsu G.
In: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14, No. 7, 11.2010, p. 784-792.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Directional intention identification for running control of an OmniDirectional Walker
AU - Jiang, Yinlai
AU - Wang, Shuoyu
AU - Ishida, Kenji
AU - Ando, Takeshi
AU - Fujie, Masakatsu G.
PY - 2010/11
Y1 - 2010/11
N2 - Walking is a vital exercise for health promotion and a fundamental ability necessary for everyday life. In previous work, we developed an OmniDirectional Walker (ODW) for walking rehabilitation and walking support. In walking support, it is necessary for the ODW to know the direction the user intends to go based on user manipulation. Actual directional intent must, however, be identified from physical manipulation because a user's directional intent and physical manipulation are not always mutually consistent. In this paper, a novel interface is proposed to recognize a user's directional intention according to the forearm pressures exerted to the ODW by the user with wrists and elbows. The forearm pressures are measured by 4 sensors embedded in the ODW's armrest. The relationship between forearm pressure and directional intention was extracted as fuzzy rules and an algorithm was proposed for directional intention identification based on distance-type fuzzy reasoning method. The effectiveness of the algorithm was verified by experimental reasoning results demonstrated to be consistent with intended directions.
AB - Walking is a vital exercise for health promotion and a fundamental ability necessary for everyday life. In previous work, we developed an OmniDirectional Walker (ODW) for walking rehabilitation and walking support. In walking support, it is necessary for the ODW to know the direction the user intends to go based on user manipulation. Actual directional intent must, however, be identified from physical manipulation because a user's directional intent and physical manipulation are not always mutually consistent. In this paper, a novel interface is proposed to recognize a user's directional intention according to the forearm pressures exerted to the ODW by the user with wrists and elbows. The forearm pressures are measured by 4 sensors embedded in the ODW's armrest. The relationship between forearm pressure and directional intention was extracted as fuzzy rules and an algorithm was proposed for directional intention identification based on distance-type fuzzy reasoning method. The effectiveness of the algorithm was verified by experimental reasoning results demonstrated to be consistent with intended directions.
KW - Directional intention identification
KW - Distance-type fuzzy reasoning method
KW - Knowledge radius
KW - OmniDirectional Walker
KW - Walking support
UR - http://www.scopus.com/inward/record.url?scp=78649393493&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649393493&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:78649393493
VL - 14
SP - 784
EP - 792
JO - Journal of Advanced Computational Intelligence and Intelligent Informatics
JF - Journal of Advanced Computational Intelligence and Intelligent Informatics
SN - 1343-0130
IS - 7
ER -