Title :
The human-environment interface design with a vision assistance module or a smart wheelchair
Author :
Han-Yen Yu ; Jiann-Jone Chen ; Chung-Hsien Kuo
Author_Institution :
Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
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 friend 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 human interaction. Interaction functions, such as appliance control, semi-automatic vision assistant function, and physiological information monitoring function etc. have been developed to achieve the target. The goal of light mobility can be reached and the overall smart wheelchair system comprises: 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 human facial image data. The physiological sensor module is used for sensing user physiological data. The analysis control module seamlessly transmits monitoring signals to a caregiver side in response to the image data or 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.
Keywords :
assisted living; face recognition; geriatrics; handicapped aids; health care; human computer interaction; image capture; intelligent sensors; interactive systems; physiology; wheelchairs; wireless sensor networks; aged population; analysis control modules; automatic health care service; friend user-environment interface; human facial image data; human interaction; human-environment interface design; image capture unit; information sensor modules; integrated interactive platform; intelligent health care service; intelligent mobility; living environment; mobile vehicle; physiological data; physiological information monitoring function; physiological sensor module; semiautomatic vision assistant function; smart wheelchair; smart wheelchair system; touch control panel; user-environment interaction functions; vision assistance module; wireless sensors; Biomedical monitoring; Cameras; Face; Image color analysis; Monitoring; Sensors; Visualization;
Conference_Titel :
Advanced Robotics and Intelligent Systems (ARIS), 2014 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ARIS.2014.6871498