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Wearable Devices for Physical Activity Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 1982

Special Issue Editors


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Guest Editor
Department of Physical Education, College of Physical Education, Kyung Hee University (Global Campus), 1732 Deokyoungdaero, Giheung-gu, Yongin-si 17014, Gyeonggi-do, Korea
Interests: physical activity; accelerometer; wearable tracker; health promotion
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Sports and Leisure Studies, Keimyung University, Daegu 42601,Republic of Korea
Interests: Public Health; Obesity; Cardiometabolic health; Health-related physical Fitness

Special Issue Information

Dear Colleagues,

This Special Issue on “Wearable Devices for Physical Activity Monitoring” aims to explore the latest advancements, research findings, and technological innovations in the field of wearable devices designed for monitoring physical activity. This issue seeks to provide a comprehensive platform for researchers, practitioners, and industry professionals to share their insights, experiences, and developments related to the use of wearable technology in tracking, analyzing, and promoting physical activity. The goal is to highlight the impact of these devices on health, fitness, and overall well-being, and to discuss the challenges and future directions in this rapidly evolving domain.

This Special Issue welcomes original research articles, review papers, case studies, and technical notes covering a wide range of topics related to wearable devices for physical activity monitoring, including but not limited to the following:

  • Development of new sensors and wearable devices.
  • Effects of physical activity monitoring on health outcomes.
  • Techniques for accurate measurement and analysis of physical activity data.
  • Use of wearables in sports and fitness.
  • Applications in chronic disease management and elderly care.
  • Impact of wearables on motivation and behavior change in physical activity.
  • Emerging trends in wearable technology.
  • Health promotion and health and wellness related topics.

Prof. Dr. Jung-Min Lee
Dr. Myong-Won Seo
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wearable devices
  • physical activity monitoring
  • physical activity assessment
  • public Health

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Published Papers (1 paper)

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Research

13 pages, 2696 KiB  
Article
Apple Watch 6 vs. Galaxy Watch 4: A Validity Study of Step-Count Estimation in Daily Activities
by Kyu-Ri Hong, In-Whi Hwang, Ho-Jun Kim, Seo-Hyung Yang and Jung-Min Lee
Sensors 2024, 24(14), 4658; https://doi.org/10.3390/s24144658 - 18 Jul 2024
Cited by 1 | Viewed by 1695
Abstract
The purpose of this study was to examine the validity of two wearable smartwatches (the Apple Watch 6 (AW) and the Galaxy Watch 4 (GW)) and smartphone applications (Apple Health for iPhone mobiles and Samsung Health for Android mobiles) for estimating step counts [...] Read more.
The purpose of this study was to examine the validity of two wearable smartwatches (the Apple Watch 6 (AW) and the Galaxy Watch 4 (GW)) and smartphone applications (Apple Health for iPhone mobiles and Samsung Health for Android mobiles) for estimating step counts in daily life. A total of 104 healthy adults (36 AW, 25 GW, and 43 smartphone application users) were engaged in daily activities for 24 h while wearing an ActivPAL accelerometer on the thigh and a smartwatch on the wrist. The validities of the smartwatch and smartphone estimates of step counts were evaluated relative to criterion values obtained from an ActivPAL accelerometer. The strongest relationship between the ActivPAL accelerometer and the devices was found for the AW (r = 0.99, p < 0.001), followed by the GW (r = 0.82, p < 0.001), and the smartphone applications (r = 0.93, p < 0.001). For overall group comparisons, the MAPE (Mean Absolute Percentage Error) values (computed as the average absolute value of the group-level errors) were 6.4%, 10.5%, and 29.6% for the AW, GW, and smartphone applications, respectively. The results of the present study indicate that the AW and GW showed strong validity in measuring steps, while the smartphone applications did not provide reliable step counts in free-living conditions. Full article
(This article belongs to the Special Issue Wearable Devices for Physical Activity Monitoring)
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