Assessing the impact of body location on the accuracy of detecting daily activities with accelerometer data

Author:

Dang Xiangnan,Li Wentao,Zou Jasmine,Cong Brian,Guan YuanfangORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference16 articles.

1. Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives;Fonseka;JMIR Mhealth Uhealth,2021

2. Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study;Jauhiainen;JMIR Res. Protoc.,2019

3. Tracking the disease progression of lumbar spinal stenosis using objective gait metrics: a case report;Fonseka;J. Spine Surg.,2022

4. A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer;Aich;Sensors,2018

5. A Deep Learning Approach to Human Activity Recognition Based on Single Accelerometer;Chen,2015

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