Related Experiment Video
Updated: Jun 18, 2026

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
Published on: June 20, 2025
Comparison of four ActiGraph accelerometers during walking and running
Dinesh John1, Brian Tyo, David R Bassett
1University of Tennessee, Department of Exercise, Sport, and Leisure Studies, Knoxville, TN 37996-2700, USA. djohn1@utk.edu
Researchers can use any of the four ActiGraph accelerometers (7164, GT1M-V1, GT1M-V2, GT1M-V3) interchangeably for physical activity measurement, as no significant differences in activity counts were found across devices during walking and running. This ensures consistent data collection in research settings.
Area of Science:
- Biomedical Engineering
- Kinesiology
- Wearable Technology
Background:
- Objective physical activity measurement is crucial in research.
- ActiGraph devices (7164 and GT1M versions) are commonly used accelerometers.
- Understanding device comparability is essential for data integrity.
Purpose of the Study:
- To compare activity counts between the ActiGraph 7164 and three GT1M versions.
- To assess device differences at various walking and running speeds.
- To validate the interchangeability of ActiGraph accelerometers.
Main Methods:
- Ten male participants performed treadmill tests at 10 speeds (walking and running).
- Participants wore ActiGraph 7164 and GT1M (V1, V2, V3) accelerometers on the waist.
- Repeated-measures ANOVA analyzed differences in activity counts (counts per minute).
Main Results:
- No statistically significant differences in activity counts were observed between devices at any speed.
- Activity counts peaked at 14 km/h and declined at higher speeds for all devices.
- ActiGraph 7164 showed lowest and GT1M-V2 showed highest counts during running.
Conclusions:
- All tested ActiGraph accelerometers demonstrate comparable outputs.
- Researchers can confidently use any of the four ActiGraph models for physical activity research.
- The findings support the consistent use of these devices across studies.
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