Publication: Gait phase recognition using textile-based sensor
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© 2022 IEEE.Human gait phase detection has become an emerging field of study due to its impact in various clinical studies. In this study, a system is developed to detect the toe-off, mid-swing, heel-strike, and heel-off phases of a gait cycle in real-time by using a textile-based capacitive strain sensor mounted on the kneepad. Five healthy subjects performed walks including those four phases of the gait at a constant speed and gait distance in a laboratory environment while wearing the kneepad. The phases are labeled according to the gyroscope data of the Inertial Measurement Unit (IMU) located on the kneepad. An Long Short-Term Memory (LSTM) based network is utilized to detect the phases using the capacitance data obtained from the strain sensor. Recognition of four phases with 87 % accuracy is accomplished.
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Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği, Bilgisayar Bilimleri, Algoritmalar, Mühendislik ve Teknoloji, Information Systems, Communication and Control Engineering, Computer Sciences, algorithms, Engineering and Technology, Mühendislik, Bilişim ve Teknoloji (ENG), Bilgisayar Bilimi, Mühendislik, BİLGİSAYAR BİLİMİ, YAPAY ZEKA, TELEKOMÜNİKASYON, Engineering, Computing & Technology (ENG), COMPUTER SCIENCE, ENGINEERING, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, TELECOMMUNICATIONS, Yapay Zeka, Fizik Bilimleri, Bilgisayar Ağları ve İletişim, Bilgisayar Bilimi Uygulamaları, Bilgisayarla Görme ve Örüntü Tanıma, Artificial Intelligence, Physical Sciences, Computer Networks and Communications, Computer Science Applications, Computer Vision and Pattern Recognition, Gait Analysis, Inertial Measurement Unit, Long Short-Term Memory, Real-time Gait Phase Recognition, Textile-based Strain Sensor, Gait Analysis, Real-time Gait Phase Recognition, Textile-based Strain Sensor, Inertial Measurement Unit, Long Short-Term Memory
Citation
Pazar A., Khalilbayli F., Özlem K., Yılmaz F., TUNÇAY ATALAY A., Atalay Ö., İnce G., \"Gait Phase Recognition using Textile-based Sensor\", 7th International Conference on Computer Science and Engineering, UBMK 2022, Diyarbakır, Türkiye, 14 - 16 Eylül 2022, ss.338-343