TY - GEN
T1 - Fall Prevention and Vibration Suppression of Wheelchair Using Rider Motion State
AU - Takahashi, Isseki
AU - Murakami, Toshiyuki
N1 - Publisher Copyright:
© 2018 IEEJ Industry Application Society.
PY - 2018/10/22
Y1 - 2018/10/22
N2 - In recent years, with the declining birthrate and the aging of the population, the demand for nursing care support equipment is increasing. Among them, wheelchairs are already common as nursing care support equipment. Therefore, demand for wheelchair research is high, and electric wheelchair is required to have higher functionality. In this paper, prevention of falling of the wheelchair as a part of enhancing the functionality of the electric wheelchair is described. Several studies on prevention of rollover of electric wheelchairs have already been reported, but since rider motion state is not taken into account in the calculation of rollover conditions, there is a problem that the rollover conditions does not conform to the actual situation. Therefore, the purpose of this study is to estimate the state of the rider by IMU sensor and to calculate accurate rollover condition. Several simulation results are shown to confirm the proposed approach.
AB - In recent years, with the declining birthrate and the aging of the population, the demand for nursing care support equipment is increasing. Among them, wheelchairs are already common as nursing care support equipment. Therefore, demand for wheelchair research is high, and electric wheelchair is required to have higher functionality. In this paper, prevention of falling of the wheelchair as a part of enhancing the functionality of the electric wheelchair is described. Several studies on prevention of rollover of electric wheelchairs have already been reported, but since rider motion state is not taken into account in the calculation of rollover conditions, there is a problem that the rollover conditions does not conform to the actual situation. Therefore, the purpose of this study is to estimate the state of the rider by IMU sensor and to calculate accurate rollover condition. Several simulation results are shown to confirm the proposed approach.
KW - Fall prevention
KW - Kalman filter
KW - Wheelchair
UR - http://www.scopus.com/inward/record.url?scp=85057317455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057317455&partnerID=8YFLogxK
U2 - 10.23919/IPEC.2018.8507650
DO - 10.23919/IPEC.2018.8507650
M3 - Conference contribution
AN - SCOPUS:85057317455
T3 - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
SP - 575
EP - 582
BT - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Y2 - 20 May 2018 through 24 May 2018
ER -