@inproceedings{5f67ee935a94490e8e7830784c73fa33,
title = "Design of a Robotic Trainer for Upper Body Physical Therapy",
abstract = "This study introduces the design of a robotic system for upper-body training of individuals with lower-body orthopedic injuries undergoing rehabilitation. The system is an adaptation of {\textquoteleft}Gymmy{\textquoteright}, a robotic system initially developed for physical and cognitive training of older adults. The paper outlines the prototype system designed based on a focus group and presents the results of an online video assessment by physical therapists, which further helped tailor {\textquoteleft}Gymmy{\textquoteright} to better suit physical therapy training. It discusses enhancements of the prototype system including performance feedback provision, methods to enhance training engagement, personalized training regimens, and data display features. These improvements aim to provide personalized rehabilitation experiences to improve engagement and performance.",
keywords = "HRI, rehabilitation, robotic trainer, upper-body training",
author = "Yael Sznaidman and Maya Krakovski and Shirley Handelzalts and Yael Edan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 25th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2024 ; Conference date: 21-08-2024 Through 23-08-2024",
year = "2025",
month = jan,
day = "1",
doi = "10.1007/978-3-031-72062-8_14",
language = "English",
isbn = "9783031720611",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "157--163",
editor = "Mingfeng Wang and Tatiana Kalganova and Huda, {M. Nazmul}",
booktitle = "Towards Autonomous Robotic Systems - 25th Annual Conference, TAROS 2024, Proceedings",
address = "Germany",
}