Abstract:
BACKGROUND:Activity trackers are now ubiquitous in certain populations, with potential applications for health promotion and monitoring and chronic disease management. Understanding the accuracy of this technology is critical to the appropriate and productive use of wearables in health research. Although other peer-reviewed validations have examined other features (eg, steps and heart rate), no published studies to date have addressed the accuracy of automatic activity type detection and duration accuracy in wearable trackers. OBJECTIVE:The aim of this study was to examine the ability of 4 commercially available wearable activity trackers (Fitbits Flex 2, Fitbit Alta HR, Fitbit Charge 2, and Garmin Vívosmart HR), in a controlled setting, to correctly and automatically identify the type and duration of the physical activity being performed. METHODS:A total of 8 activity types, including walking and running (on both a treadmill and outdoors), a run embedded in walking bouts, elliptical use, outdoor biking, and pool lap swimming, were tested by 28 to 34 healthy adult participants (69 total participants who participated in some to all activity types). Actual activity type and duration were recorded by study personnel and compared with tracker data using descriptive statistics and mean absolute percent error (MAPE). RESULTS:The proportion of trials in which the activity type was correctly identified was 93% to 97% (depending on the tracker) for treadmill walking, 93% to 100% for treadmill running, 36% to 62% for treadmill running when preceded and followed by a walk, 97% to 100% for outdoor walking, 100% for outdoor running, 3% to 97% for using an elliptical, 44% to 97% for biking, and 87.5% for swimming. When activities were correctly identified, the MAPE of the detected duration versus the actual activity duration was between 7% and 7.9% for treadmill walking, 8.7% and 144.8% for treadmill running, 23.6% and 28.9% for treadmill running when preceded and followed by a walk, 4.9% and 11.8% for outdoor walking, 5.6% and 9.6% for outdoor running, 9.7% and 13% for using an elliptical, 9.5% and 17.7% for biking, and was 26.9% for swimming. CONCLUSIONS:In a controlled setting, wearable activity trackers provide accurate recognition of the type of some common physical activities, especially outdoor walking and running and walking on a treadmill. The accuracy of measurement of activity duration varied considerably by activity type and tracker model and was poor for complex sets of activity, such as a run embedded within 2 walking segments.
journal_name
JMIR Mhealth Uhealthjournal_title
JMIR mHealth and uHealthauthors
Dorn D,Gorzelitz J,Gangnon R,Bell D,Koltyn K,Cadmus-Bertram Ldoi
10.2196/13547subject
Has Abstractpub_date
2019-05-23 00:00:00pages
e13547issue
5issn
2291-5222pii
v7i5e13547journal_volume
7pub_type
杂志文章abstract:BACKGROUND:Cardiovascular diseases are the deadliest diseases worldwide, with 17.3 million deaths in 2008 alone. Among them, heart-related deaths are of the utmost relevance; a fact easily proven by the 7.25 million deaths caused by ischemic heart disease alone in that year. The latest advances in smartphones and mHeal...
journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章,评审
doi:10.2196/mhealth.2737
更新日期:2013-07-24 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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更新日期:2019-04-26 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
doi:10.2196/mhealth.8298
更新日期:2019-04-30 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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更新日期:2016-06-06 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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abstract:BACKGROUND:Gameful designs (gamification), using design pieces and concepts typically found in the world of games, is a promising approach to increase users' engagement with, and adherence to, electronic health and mobile health (mHealth) tools. Even though both identifying and addressing users' requirements and needs ...
journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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journal_title:JMIR mHealth and uHealth
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abstract:BACKGROUND:Smart speaker-based voice assistants promise support for the aging population, with the advantages of hands-free and eyes-free interaction modalities to handle requests. However, little is known about how older adults perceive the benefits of this type of device. OBJECTIVE:This study investigates how older ...
journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
doi:10.2196/20427
更新日期:2021-01-13 00:00:00
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journal_title:JMIR mHealth and uHealth
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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更新日期:2018-07-30 00:00:00
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journal_title:JMIR mHealth and uHealth
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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abstract:BACKGROUND:A primary concern for governments and health care systems is the rapid growth of the aging population. To provide a better quality of life for the elderly, researchers have explored the use of wearables, sensors, actuators, and mobile health technologies. The term AAL can be referred to as active assisted li...
journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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更新日期:2020-06-22 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
doi:10.2196/mhealth.8320
更新日期:2018-04-16 00:00:00
abstract:BACKGROUND:Obesity in pregnancy is a growing problem worldwide, with excessive gestational weight gain (GWG) occurring in the majority of pregnancies. This significantly increases risks to both mother and child. A major contributor to both prepregnancy obesity and excessive GWG is physical inactivity; however, past int...
journal_title:JMIR mHealth and uHealth
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更新日期:2020-05-26 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
doi:10.2196/11753
更新日期:2018-11-20 00:00:00
abstract:BACKGROUND:The 40-item Quality of Recovery (QoR-40) questionnaire is well validated for measuring self-assessed postoperative recovery. The Swedish version of the 40-item Quality of Recovery (QoR-40) has been developed into a Web-based questionnaire, the Swedish Web version of the Quality of Recovery (SwQoR) questionna...
journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章
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更新日期:2017-12-03 00:00:00
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章,评审
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更新日期:2020-08-28 00:00:00
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journal_title:JMIR mHealth and uHealth
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pub_type: 杂志文章,随机对照试验
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更新日期:2019-09-06 00:00:00
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journal_title:JMIR mHealth and uHealth
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journal_title:JMIR mHealth and uHealth
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更新日期:2016-06-14 00:00:00
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journal_title:JMIR mHealth and uHealth
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更新日期:2019-05-03 00:00:00
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journal_title:JMIR mHealth and uHealth
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journal_title:JMIR mHealth and uHealth
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journal_title:JMIR mHealth and uHealth
pub_type: 杂志文章,meta分析
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