Accuracy of a smartphone pedometer application according to different speeds and mobile phone locations in a laboratory context

Presset, Bastien; Laurenczy, Balazs; Malatesta, Davide; Barral, Jérôme

doi:10.1016/j.jesf.2018.05.001

Cited by 28 publications

(20 citation statements)

References 32 publications

(38 reference statements)

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“…The ZTM algorithm using data from smartphones attached to the hip (Samsung Galaxy S10e, Sony Xperia, Nokia 8) calculated steps very accurately with MAPEs from 0.3–0.6%. Presset et al [ 42 ] analyzed step count accuracy of the Runtastic Pedometer smartphone application during treadmill walking for data collected at the hip. They reported MAPEs of 19.3% (2 km/h), 1.5% (4 km/h), and 0.7% (6 km/h).…”

Section: Discussionmentioning

confidence: 99%

Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types

Hartung

Sarshar

Karle

et al. 2020

IJERPH

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Background: Consumer activity monitors and smartphones have gained relevance for the assessment and promotion of physical activity. The aim of this study was to determine the concurrent validity of various consumer activity monitor models and smartphone models for measuring steps. Methods: Participants completed three activity protocols: (1) overground walking with three different speeds (comfortable, slow, fast), (2) activities of daily living (ADLs) focusing on arm movements, and (3) intermittent walking. Participants wore 11 activity monitors (wrist: 8; hip: 2; ankle: 1) and four smartphones (hip: 3; calf: 1). Observed steps served as the criterion measure. The mean average percentage error (MAPE) was calculated for each device and protocol. Results: Eighteen healthy adults participated in the study (age: 28.8 ± 4.9 years). MAPEs ranged from 0.3–38.2% during overground walking, 48.2–861.2% during ADLs, and 11.2–47.3% during intermittent walking. Wrist-worn activity monitors tended to misclassify arm movements as steps. Smartphone data collected at the hip, analyzed with a separate algorithm, performed either equally or even superiorly to the research-grade ActiGraph. Conclusion: This study highlights the potential of smartphones for physical activity measurement. Measurement inaccuracies during intermittent walking and arm movements should be considered when interpreting study results and choosing activity monitors for evaluation purposes.

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Section: Discussionmentioning

confidence: 99%

Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types

Hartung

Sarshar

Karle

et al. 2020

IJERPH

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“…Practically, with the pedometer, we can get indirect information about the physical activity regime and the energy consumption achieved in the occupational context of the client (Hills et al, 2014). In fact, smartphone pedometers are now considered to be reliable tools for clinical research, being recommended for walking sessions even for low walking speed (Presset et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Untitled

2018

JPES

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Problem Statement. For both patients and their families, the use of medical diaries represents an up-todate approach, especially in the digital information context. In Occupational Therapy and Physical Therapy, the patient's diary acquires specific valences, overcoming the purely medical interpretation, and moving to the occupational side, which gives individualization notes of the clinical context. In the field of Sports Science, there are also many mobile applications that serve to monitor health and physical fitness levels. Purpose. The aim of this study was to develop an application for mobile devices as an occupational diary, able to provide synthetic information regarding the clients'/patients' occupational profile and needs. Methods. We designed a mobile software application by using a free mobile app builder. With the help of the interactive interface, the user of our application has easy access to multiple pages with descriptive technical elements of the software application, information about the terminology used, assessment questionnaires and tools. Results. We proposed an accessible electronic diary for client's daily activities survey, adapted for the Occupational Therapy and Physical Therapy practice domain of intervention. Discussion. Electronic diaries allow the use of new information technologies to create highly accurate databases that can be adapted to different clinical contexts. Through this approach, we have been able to develop an accessible electronic diary, which is addressed to the clinical environment and adapted to the practice of the Occupational Therapy and Physical Therapy. Our application can also serve as an incentive factor to stimulate the individual to improve his physical fitness by awareness of the need for daily physical exercise. Conclusions. An electronic diary of occupational activities, designed for the use on smartphone/tablet for different types of patients/clients, can help both the developing of professional reasoning and the ability to provide a clear, fast, and tailored feedback for each beneficiary. A distinct finality of the proposed application is to motivate the beneficiaries to adopt a healthy and active lifestyle based on physical exercise.

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“…For instance, the mean absolute percentage of errors was small for iPhone SE and Samsung Galaxy for walking in natural conditions (<3%) compared with a wrist-worn ActiGraph (17%-47%) [41]. However, phone pedometers may underestimate steps [41] and are less accurate when placed further from the body [42]. In addition, as we examine steps over 24 hr, carry-over effects of previous messages may influence step changes.…”

Section: Limitationsmentioning

confidence: 97%

Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial

Figueroa

Deliu

Chakraborty

et al. 2021

Annals of Behavioral Medicine

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Background Low physical activity is an important risk factor for common physical and mental disorders. Physical activity interventions delivered via smartphones can help users maintain and increase physical activity, but outcomes have been mixed. Purpose Here we assessed the effects of sending daily motivational and feedback text messages in a microrandomized clinical trial on changes in physical activity from one day to the next in a student population. Methods We included 93 participants who used a physical activity app, “DIAMANTE” for a period of 6 weeks. Every day, their phone pedometer passively tracked participants’ steps. They were microrandomized to receive different types of motivational messages, based on a cognitive-behavioral framework, and feedback on their steps. We used generalized estimation equation models to test the effectiveness of feedback and motivational messages on changes in steps from one day to the next. Results Sending any versus no text message initially resulted in an increase in daily steps (729 steps, p = .012), but this effect decreased over time. A multivariate analysis evaluating each text message category separately showed that the initial positive effect was driven by the motivational messages though the effect was small and trend-wise significant (717 steps; p = .083), but not the feedback messages (−276 steps, p = .4). Conclusion Sending motivational physical activity text messages based on a cognitive-behavioral framework may have a positive effect on increasing steps, but this decreases with time. Further work is needed to examine using personalization and contextualization to improve the efficacy of text-messaging interventions on physical activity outcomes. ClinicalTrials.gov Identifier NCT04440553.

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Accuracy of a smartphone pedometer application according to different speeds and mobile phone locations in a laboratory context

Cited by 28 publications

References 32 publications

Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types

Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types

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Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial

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