Intelligent mobile walking-aids: perception, control and safety

被引：19

作者：

Yan, Qingyang ^{[1
]}

Huang, Jian ^{[1
]}

Tao, Chunjing ^{[2
]}

Chen, Xinxing ^{[1
]}

Xu, Wenxia ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Key Lab, Minist Educ Image Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China

[2] Natl Res Ctr Rehabil Tech Aids, Beijing, Peoples R China

[3] Wuhan Inst Technol, Sch Comp Sci & Engn, Wuhan, Hubei, Peoples R China

来源：

ADVANCED ROBOTICS | 2020年 / 34卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Intelligent mobile walking-aid; perception system; control strategies; safety measures; literature survey; SHARED CONTROL; FALL DETECTION; RECOGNITION SYSTEM; FEATURE-EXTRACTION; SMART WALKERS; REAL-TIME; ROBOT; DESIGN; SUPPORT; POWER;

D O I：

10.1080/01691864.2019.1653225

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

Robot-assisted walking has become a popular research field for helping mobility-limited people to walk more easily. Different from other walking-aid devices (e.g. exoskeletons and prosthesis), intelligent mobile walking-aids (IMWs) are invented for helping the visually impaired or people in need (e.g. the elderly) to walk in daily life. This paper reviews various related literatures on IMWs and dwells on three kinds of perception systems and perception algorithms of IMWs to explain how IMWs understand the user's motion states or tendency. Besides, the control strategies of IMWs under the normal case concerned are classified and compared. The safety measures for preventing the user from abnormal cases (e.g. encountering obstacles, the user's stumbling and falling, faults of IMWs) are introduced in detail as well. The performance of current safety measures for the user's fall detection and prevention has been evaluated and concluded. At the end of the article, the discussion and perspective of IMWs are presented.

引用

页码：2 / 18

页数：17

共 50 条

[31] An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception
Sun, Chuan
Zheng, Sifa
Ma, Yulin
Chu, Duanfeng
Yang, Junru
Zhou, Yuncheng
Li, Yicheng
Xu, Tingxuan
JOURNAL OF INTELLIGENT MANUFACTURING, 2021, 32 (05) : 1249 - 1269
[32] Safety issues in intelligent cruise control
Mayr, R.
Bauer, O.
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 1999, : 970 - 975
[33] Intelligent Safety Control for Automotive Systems
Gaikwad, Nilesh
Markande, S. D.
2016 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND DYNAMIC OPTIMIZATION TECHNIQUES (ICACDOT), 2016, : 653 - 656
[34] Hybrid Intelligent Mobile Robot Control System
Shpakov, Vladislav K.
Gavrilov, Andrey, V
2020 1ST INTERNATIONAL CONFERENCE PROBLEMS OF INFORMATICS, ELECTRONICS, AND RADIO ENGINEERING (PIERE), 2020, : 241 - 245
[35] NEURAL INTELLIGENT CONTROL SYSTEM FOR MOBILE ROBOTS
Tamariz, Annabell Del Real
de Freitas Neto, Francisco Alves
Carneiro, Eduardo Coelho
CISCI 2007: 6TA CONFERENCIA IBEROAMERICANA EN SISTEMAS, CIBERNETICA E INFORMATICA, MEMORIAS, VOL III, 2007, : 127 - 132
[36] A complex control method for an intelligent mobile vehicle
Sugisaka, M
Wang, X
PROCEEDINGS OF THE 1996 IEEE INTELLIGENT VEHICLES SYMPOSIUM, 1996, : 53 - 57
[37] Neuroprocessor control systems of intelligent mobile robots
Kaliaev, I
Rubtsov, I
Chelyshev, V
MECHATRONICS '98, 1998, : 415 - 419
[38] Vision based intelligent control for mobile robot
Peng, Gang
Huang, Xinhan
Gao, Jian
Wu, Yi
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 164 - 164
[39] Intelligent video transmission control for mobile cameras
Kuo, Chien-Ting
Chen, I-Iming
Lian, Feng-Li
2009 IEEE CONTROL APPLICATIONS CCA & INTELLIGENT CONTROL (ISIC), VOLS 1-3, 2009, : 216 - 221
[40] Mobile robot control using intelligent agents
Figueiredo, K
Vellasco, M
Pacheco, MA
COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2002, : 201 - 206

← 1 2 3 4 5 →