Eran Gazit

According to our database1, Eran Gazit authored at least 13 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Automated Mobility Context Detection with Inertial Signals.
CoRR, 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
The RNA Polymerase Flow Model of Gene Transcription.
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


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