@inproceedings{7c5b63fa248d40d1a60d2d58dffa9ad8,
title = "On the Assessment of Gray Code Kernels for Motion Characterization in People with Multiple Sclerosis: A Preliminary Study",
abstract = "Motor deficits in the lower limbs are common in people with multiple sclerosis (MS), impacting mobility and quality of life. Objective and quantitative metrics are crucial for effective identification and monitoring of motor deficits. Recent advancements in computer vision and human pose estimators allow for automatic extraction of movement information from video data, offering potential insights into human motion patterns. This exploratory study investigates the use of Gray-Code Kernels (GCKs) in characterizing gait patterns in individuals with advanced-stage MS compared to age- and sex-matched unimpaired controls. The preliminary results obtained demonstrate the promising potential of combining GCKs and pose estimators in characterizing gait patterns, warranting further investigation in this area.",
keywords = "Gray-code kernels, Human motion analysis, Human pose estimation, Multiple sclerosis",
author = "Matteo Moro and Maria Cellerino and Matilde Inglese and Maura Casadio and Francesca Odone and Nicoletta Noceti",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2023 ; Conference date: 28-09-2023 Through 29-09-2023",
year = "2024",
doi = "10.1007/978-3-031-48121-5\_34",
language = "English",
isbn = "9783031481208",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "241--247",
editor = "Francesco Bellotti and Grammatikakis, \{Miltos D.\} and Ali Mansour and \{Ruo Roch\}, Massimo and Ralf Seepold and Agusti Solanas and Riccardo Berta",
booktitle = "Applications in Electronics Pervading Industry, Environment and Society - APPLEPIES 2023",
address = "Germany",
}