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  4. Toward constructing a user-environment interface for a smart light-mobile wheelchair
 
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Toward constructing a user-environment interface for a smart light-mobile wheelchair

Journal
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Pages
403-407
Date Issued
2012
Author(s)
Yu H.-Y.
Chen J.-J.
Kuo C.-H.
CHUNG-HSIEN KUO  
DOI
10.1109/AIM.2012.6266047
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866928572&doi=10.1109%2fAIM.2012.6266047&partnerID=40&md5=2c264da9a0e77ec14753cc338e427dbd
https://scholars.lib.ntu.edu.tw/handle/123456789/611591
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 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. ? 2012 IEEE.
Subjects
Appliance controls
Assistant functions
Control module
Facial images
Friendly interaction
Healthcare services
Healthy persons
Image captures
Image data
Information monitoring
Intelligent mobility
Interaction functions
Interactive platform
Living environment
Mobile vehicle
Monitoring signals
Physiological data
Semi-automatics
Sensor modules
Smart wheelchairs
Touch control panel
Wireless sensor
Health care
Intelligent mechatronics
Physiology
Population statistics
Wheelchairs
SDGs

[SDGs]SDG3

Type
conference paper

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