Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative Symptoms

Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative Symptoms

BackgroundWe aimed to develop a Human Activity Recognition (HAR) model using a wrist-worn device to assess patient activity in relation to negative symptoms of schizophrenia.MethodsData were analyzed in a randomized, three-way cross-over, proof-of-mechanism study (ClinicalTrials.gov: NCT02824055) co...

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Bibliographic Details
Main Authors: Daniel Umbricht, Wei-Yi Cheng, Florian Lipsmeier, Atieh Bamdadian, Michael Lindemann
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Psychiatry
Subjects:
body-worn sensor
digital endpoints
digital health technology
digital outcome measures
gesture detection
human activity recognition
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2020.574375/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyt.2020.574375/full

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