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Updated: Jan 25, 2026
06:49
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
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Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention
Artur Direito1,2, Mark Tooley1, Moohamad Hinbarji3
1National Institute for Health Innovation, University of Auckland, Auckland, New Zealand.
Summary
This study shows that an adaptive smartphone app using real-world movement data is feasible and acceptable for improving physical activity (PA) and reducing sedentary behavior (SB). The intervention demonstrated positive effects on participants' PA and SB levels.
Area of Science:
- Digital Health
- Behavioral Science
- Public Health
Background:
- Nontailored and static behavior change goals can limit effectiveness.
- Smartphone interventions offer a scalable approach to health behavior modification.
- Real-world data capture can personalize interventions.
Purpose of the Study:
- To assess the feasibility and acceptability of an adaptive smartphone intervention.
- To determine if real-world movement data can inform behavior change content delivery.
- To evaluate the intervention's impact on physical activity (PA) and sedentary behavior (SB).
Main Methods:
- An 8-week single-group study in Auckland, New Zealand.
- Participants (n=69) aged 17-69 used a smartphone app collecting PA and SB data.
- Pre- and post-intervention assessments analyzed using random-effects mixed models.
Main Results:
- The adaptive app was deemed acceptable by participants.
- Time spent on light, moderate-to-vigorous, and total PA increased post-intervention.
- Time spent on sedentary behavior (SB) decreased post-intervention.
Conclusions:
- The adaptive, proof-of-concept smartphone app is feasible and acceptable.
- Preliminary evidence suggests positive impacts on physical activity and sedentary behavior.
- Personalized, data-driven interventions show promise for behavior change.
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