Eran Gazit
Orcid: 0009-0009-1085-9664
According to our database1,
Eran Gazit
authored at least 14 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders.
npj Digit. Medicine, 2024
2023
A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings.
Medical Biol. Eng. Comput., September, 2023
2022
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's Disease.
Sensors, 2022
2021
A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems.
Sensors, 2021
2020
Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test.
Sensors, 2020
2016
The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson's disease.
Pervasive Mob. Comput., 2016
2015
Prediction of Freezing of Gait in Parkinson's From Physiological Wearables: An Exploratory Study.
IEEE J. Biomed. Health Informatics, 2015
A Wearable Assistant for Gait Training for Parkinson's Disease with Freezing of Gait in Out-of-the-Lab Environments.
ACM Trans. Interact. Intell. Syst., 2015
2014
IEEE Trans. Biomed. Circuits Syst., 2014
GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014
GaitAssist: a daily-life support and training system for parkinson's disease patients with freezing of gait.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
2013
Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation.
Proceedings of the 4th Augmented Human International Conference, 2013