Evaluation of active video games intensity: Comparison between accelerometer-based predictions and indirect calorimetric measurements

Julien Tripette*, Takafumi Ando, Haruka Murakami, Kenta Yamamoto, Kazunori Ohkawara, Shigeho Tanaka, Motohiko Miyachi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


BACKGROUND: Several active video game (AVG) intervention studies failed in showing an increase in physical activity by using accelerometry measurements. OBJECTIVE: To test the validity of accelerometry for monitoring AVG playing intensity. METHOD: Twenty-two adults performed 80 activities included in the Wii Sports and Wii Fit Plus series. The energy expenditure (EE) and subsequent MET values were measured by indirect calorimetry using metabolic chambers. Subjects wore an accelerometer-based monitor displaying MET values. For each activity, METs values obtained from indirect calorimetry and accelerometry were compared. Each activity was classified as light or moderate to vigorous physical activity (LPA: < 3METs or MVPA: ≥ 3METs) for the two methods. RESULTS: AVG intensities have been slightly but significantly underestimated by the acceleromater-based monitor compared to the indirect calorimetry (2.5 ± 1.0 instead of 2.7 ± 0.9 METs). Fourty percent of activities have been significantly misestimated, and 20% have been misclassified. CONCLUSION: Those results point out the potential bias of accelerometry measurements for evaluating AVG intensities. Because average AVG intensity lays at the boundary between LPA and MVPA classes, misclassifications can frequently occur. Accelerometry data should be interpreted with caution in intervention studies using AVG.

Original languageEnglish
Pages (from-to)199-208
Number of pages10
JournalTechnology and Health Care
Issue number2
Publication statusPublished - 2014
Externally publishedYes


  • Exergame
  • accelerometry
  • energy expenditure
  • metabolic chamber
  • metabolic equivalent

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Information Systems
  • Biomedical Engineering
  • Health Informatics


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