@inproceedings{f78e344e4eac4e01815284faad5bec05,
title = "Gait Monitor and Analyzer (GMA): A Wearable Sensor-based Gait Analysis System",
abstract = "Diagnosis of gait disorders is traditionally made by observing a patient walking, but this approach suffers from subjectivity and is limited by the difficulty of picking up on important details. The consequences are potential misdiagnosis and trouble tracking and evaluating patient progress. Considering this, we created a system to facilitate gait disorder diagnosis and assessment of patients' response to treatment, making them easier and less error-prone for physiotherapists. The system makes use of a wearable motion-sensing prototype that is worn by the patient.",
keywords = "gait analysis, gait parameter estimation, inertial sensors, wearable sensors",
author = "Tiago Lopes and Carmen Morgado and Fernanda Barbosa",
note = "Funding Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT# Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 ; Conference date: 21-03-2022 Through 25-03-2022",
year = "2022",
doi = "10.1109/PerComWorkshops53856.2022.9767515",
language = "English",
isbn = "978-1-6654-1648-1",
series = "2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "112--114",
booktitle = "2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022",
address = "United States",
}