Ubiquitous Non-Wearable Sensor for Human Sedentary Behavior Monitoring and Characterization
= 7) evaluated the system against ground truth comprising activPAL3 accelerometry and video analysis. Across 378 postural events, the sensor achieved high temporal fidelity (mean absolute error < 1.6 s) and 100% sensitivity in counting exercise repetitions. The system differentiated workstation occupancy from physical absence. These findings demonstrate that ToF sensing matches the accuracy of video analysis without privacy concerns while offering the contextual awareness required for just-in-time, adaptive workplace interventions.
Authors
- Ananda Maiti (ORCID: https://orcid.org/0000-0003-0785-5282)
- Anjia Ye (ORCID: https://orcid.org/0000-0001-5888-4994)
- Matthew Schmidt (ORCID: https://orcid.org/0000-0001-9844-3296)
- Scott J. Pedersen
Institutions
- University of Tasmania (AU)
- Deakin University (AU)
Publication Details
- Journal
- Sensors
- Published
- 2026-04-17
- DOI
- https://doi.org/10.3390/s26082468
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00