Article Versions Notes

Iseki C, Hayasaka T, Yanagawa H, Komoriya Y, Kondo T, Hoshi M, Fukami T, Kobayashi Y, Ueda S, Kawamae K, et al. Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data   Acquired by an iOS Application (TDPT-GT). Sensors. 2023; 23(13):6217. https://doi.org/10.3390/s23136217

Iseki, Chifumi, Tatsuya Hayasaka, Hyota Yanagawa, Yuta Komoriya, Toshiyuki Kondo, Masayuki Hoshi, Tadanori Fukami, Yoshiyuki Kobayashi, Shigeo Ueda, Kaneyuki Kawamae, and et al. 2023. "Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data   Acquired by an iOS Application (TDPT-GT)" Sensors 23, no. 13: 6217. https://doi.org/10.3390/s23136217

Iseki, C., Hayasaka, T., Yanagawa, H., Komoriya, Y., Kondo, T., Hoshi, M., Fukami, T., Kobayashi, Y., Ueda, S., Kawamae, K., Ishikawa, M., Yamada, S., Aoyagi, Y., & Ohta, Y. (2023). Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data   Acquired by an iOS Application (TDPT-GT). Sensors, 23(13), 6217. https://doi.org/10.3390/s23136217