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Updated: Jan 30, 2026
07:51
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
Published on: March 14, 2017
17.3K
Multi-sensor movement analysis for transport safety and health applications
Katarzyna Sila-Nowicka1, Piyushimita Thakuriah1
1Urban Big Data Centre, School of Political and Social Sciences, University of Glasgow, Glasgow, United Kingdom.
Plos One
|February 1, 2019
Summary
This study enhances wearable technology for health and safety by analyzing movement patterns using lifelogging and GPS data. Findings reveal connections between demographics, activity, and road hazards.
Area of Science:
- Wearable technology
- Human-computer interaction
- Public health
Background:
- Wearable technology adoption is increasing, creating new research opportunities.
- Lifelogging and GPS data offer potential for detailed movement analysis.
- Existing research lacks integrated analysis of indoor/outdoor movement, road hazards, and socio-demographics.
Purpose of the Study:
- To develop a framework for indoor/outdoor movement detection using wearable sensors and images.
- To create hazard measures on road networks by integrating GPS, road, and wearable sensor data.
- To investigate the relationship between socio-demographic factors, physical activity, sedentary behavior, and road exposure.
Main Methods:
- Designed a framework for movement detection using wearable sensor and image data.
- Developed hazard metrics by combining GPS, road network, and wearable sensor data.
- Analyzed correlations between socio-demographic variables, activity patterns, and road hazard exposure.
Main Results:
- Successfully implemented a system for detecting indoor and outdoor movement from wearable devices.
- Quantified road network hazards by integrating diverse data sources.
- Identified significant associations between socio-demographic groups and physical activity/sedentary behaviors, as well as road exposure levels.
Conclusions:
- Wearable technology, combined with GPS and road data, can significantly enhance health and safety applications.
- Movement analysis from wearables provides insights into physical activity and environmental risks.
- Understanding socio-demographic influences is crucial for targeted health and safety interventions.
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