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"Artificial Intelligence Distinguishes Pathological Gait: The Analysis of ..."

Chifumi Iseki et al. (2023)

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DOI: 10.3390/S23136217

access: open

type: Journal Article

metadata version: 2023-08-18

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  - journals/sensors/IsekiHYKKHFKUKIYAO23
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  - https://dblp.org/rec/journals/sensors/IsekiHYKKHFKUKIYAO23
Chifumi Iseki, Tatsuya Hayasaka, Hyota Yanagawa, Yuta Komoriya, Toshiyuki Kondo, Masayuki Hoshi, Tadanori Fukami, Yoshiyuki Kobayashi, Shigeo Ueda, Kaneyuki Kawamae, Masatsune Ishikawa, Shigeki Yamada, Yukihiko Aoyagi, Yasuyuki Ohta:
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT). Sensors 23(13): 6217 (2023)

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