TY - GEN
T1 - Toward constructing a user-environment interface for a smart light-mobile wheelchair
AU - Yu, Han Yen
AU - Chen, Jiann Jone
AU - Kuo, Chung Hsien
PY - 2012
Y1 - 2012
N2 - Automatic and intelligent health care service becomes important with the growth of aged population. To achieve intelligent mobility for a smart wheelchair, we proposed to construct a user-environment interface that users can interact with the living environment like a normal healthy person. An integrated interactive platform, including touch control panel, together with several cameras, and wireless sensors, is embedded on a wheelchair to achieve friendly interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed. The target of light mobility is achieved and the overall smart wheelchair system comprise: a mobile vehicle, information sensor modules, analysis control modules and an image capture unit which is set towards the headrest direction of the mobile vehicle to capture a user's facial image data. The physiological information sensor module is used for sensing at least one physiological data of the user. The analysis control module outputs a seamless monitoring signal to a caregiver side in response to the image data or the at least one physiological data. These user-environment interaction functions are developed under the design target of human technology that the wheelchair user can interact with the environment like a normal person.
AB - Automatic and intelligent health care service becomes important with the growth of aged population. To achieve intelligent mobility for a smart wheelchair, we proposed to construct a user-environment interface that users can interact with the living environment like a normal healthy person. An integrated interactive platform, including touch control panel, together with several cameras, and wireless sensors, is embedded on a wheelchair to achieve friendly interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed. The target of light mobility is achieved and the overall smart wheelchair system comprise: a mobile vehicle, information sensor modules, analysis control modules and an image capture unit which is set towards the headrest direction of the mobile vehicle to capture a user's facial image data. The physiological information sensor module is used for sensing at least one physiological data of the user. The analysis control module outputs a seamless monitoring signal to a caregiver side in response to the image data or the at least one physiological data. These user-environment interaction functions are developed under the design target of human technology that the wheelchair user can interact with the environment like a normal person.
UR - http://www.scopus.com/inward/record.url?scp=84866928572&partnerID=8YFLogxK
U2 - 10.1109/AIM.2012.6266047
DO - 10.1109/AIM.2012.6266047
M3 - 会议稿件
AN - SCOPUS:84866928572
SN - 9781467325752
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 403
EP - 407
BT - AIM 2012 - 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Conference Digest
T2 - 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2012
Y2 - 11 July 2012 through 14 July 2012
ER -