TY  - JOUR
PY  - 2021//
TI  - A bibliometric analysis of human-machine interaction methodology for electric-powered wheelchairs driving from 1998 to 2020
JO  - International journal of environmental research and public health
A1  - Zhang, Xiaochen
A1  - Hui, Lanxin
A1  - Wei, Linchao
A1  - Song, Fuchuan
A1  - Hu, Fei
SP  - 7567
EP  - 7567
VL  - 18
IS  - 14
N2  - Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the disabled, while the human-machine interaction (HMI) determines how well the human intention will be precisely delivered and how human-machine system cooperation will be efficiently conducted. A bibliometric quantitative analysis of 1154 publications related to this research field, published between 1998 and 2020, was conducted. We identified the development status, contributors, hot topics, and potential future research directions of this field. We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research. Particular attention should be paid to evaluating the applicability and benefits of the EPW HMI methodology for the users, as well as how much it contributes to society. This study offers researchers a comprehensive understanding of EPW HMI studies in the past 22 years and latest trends from the evolutionary footprints and forward-thinking insights regarding future research.<p />  <p>Language: en</p>
LA  - en
SN  - 1661-7827
UR  - http://dx.doi.org/10.3390/ijerph18147567
ID  - ref1
ER  -