@inproceedings{cf2cfdb050a244efaabcceb4148e90b6,
title = "The Survey of Automatic Following Methods of Lower Limb Rehabilitation Robot based on Multi-Source Information Fusion",
abstract = "For some patients with lower limb mobility, lower limb rehabilitation technology could effectively assist patients to walk and reduce their difficulties in the process of moving. The following method applied to the robot can also provide support to the patient in time when the patient encounters an unexpected situation. In this paper we mainly introduced the development of following methods and two novel following approaches we are focused on. The first one is autonomous following method with piezoresistive films, the second one is robust following method with UWB and high-precision gyroscope. Then we discussed the probability of research about gait detection with EEG in rehabilitation robot.",
keywords = "following method, gait detection, high-precision gyroscope, lower limb rehabilitation, UWB",
author = "Feng Wei and Zhaohui Luo and Dongnan Su and Jipeng Wu and Delong Yang and Peng Shang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Communications, Information System and Computer Engineering, CISCE 2022 ; Conference date: 27-05-2022 Through 29-05-2022",
year = "2022",
doi = "10.1109/CISCE55963.2022.9851112",
language = "英语",
series = "2022 4th International Conference on Communications, Information System and Computer Engineering, CISCE 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "554--557",
booktitle = "2022 4th International Conference on Communications, Information System and Computer Engineering, CISCE 2022",
}