A study on development of fuzzy algorithm based on knee joint anterior displacement for identifying gait intention

Issue title: Some highlights on fuzzy systems and data mining

Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu

Article type: Research Article

Authors: Yang, Giltae^a | Lee, Hyungjong^a | Kim, Geun Woo^b | Hong, Chul Un^e | Yu, Changho^{c; *} | Kim, Kyung^{d; *} | Kwon, Tae-Kyu^{e; f; *}

Affiliations: [a] Department of Healthcare Engineering, Chonbuk National University, Jeonju, Jeonbuk, South Korea | [b] EasyMove Co., Ltd., 230 Anyang-ro, Anyang-si, Gyeonggi-do, South Korea | [c] Department of Convergence Technology Engineering, Chonbuk National University, Jeonju, Jeonbuk, South Korea | [d] R&D Division, CAMTIC Advanced Mechatronics Technology Institute for Commercialization, Jeonju, Jeonbuk, South Korea | [e] Division of Biomedical Engineering, Chonbuk National University, Jeonju, Jeonbuk, South Korea | [f] Research Center for the Healthcare and Welfare Instrument of the Aged, Chonbuk National University, Jeonju, Jeonbuk, South Korea

Correspondence: [*] Corresponding authors. Changho Yu, Tel.: +82 63 472 2898; Fax: +82 63 270 4226; E-mail: [email protected]. Kyung Kim, Tel.: +82 63 219 0322; Fax: +82 63 219 0311; E-mail: [email protected]. Tae-Kyu Kwon, Tel.: +82 63 270 4066; Fax: +82 63 270 2247; E-mail: [email protected].

Abstract: We divided the gait intention into 3 parts of start, stop and changing walking velocity using the fuzzy algorithm. Decision for gait initiation was determined when the difference of distance was larger than 5 cm between the right and left knee joint anterior displacements. The gait stop was registered when the differences were less than 4 cm after 7 measurements in an 80 m/s. The velocity changed when the distance difference value was more than±10 cm from the mean value of the knee joint anterior displacement values on both sides. Results also showed that the knee joint anterior displacement was efficient as a measurement benchmark for detecting gait intention. Potential use of the algorithm might be expected for older adults.

Keywords: Rollator, welfare, EMG, IR sensor, fuzzy algorithm

DOI: 10.3233/JIFS-169203

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 3171-3179, 2016