Wearable Sensors and Smartphone Apps as Pedometers in eHealth: a Comparative Accuracy, Reliability and User Evaluation-Reference-Cited by-同舟云学术

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Wearable Sensors and Smartphone Apps as Pedometers in eHealth: a Comparative Accuracy, Reliability and User Evaluation

Published:2020-09 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Human-Machine Systems (ICHMS)
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Author:

Stavropoulos Thanos G.,Andreadis Stelios,Mpaltadoros Lampros,Nikolopoulos Spiros,Kompatsiaris Ioannis

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9204722/9209320/09209441.pdf?arnumber=9209441

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Semantic Framework to Detect Problems in Activities of Daily Living Monitored through Smart Home Sensors;Sensors;2024-02-08

2. Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis;JMIR mHealth and uHealth;2022-10-04

3. Associations between depression symptom severity and daily-life gait characteristics derived from long-term acceleration signals in real-world settings: retrospective analyses (Preprint);2022-06-30

4. Visualization and Interaction Technologies in Serious and Exergames for Cognitive Assessment and Training: A Survey on Available Solutions and Their Validation;IEEE Access;2022

5. A Pilot mHealth Project for Monitoring Vital Body Signals and Skin Conditions;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2022

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