Comparison of physical activity measurement using smartphone-based and wrist worn accelerometers
- Presented on May 21, 2014
Purpose: The objective of this study was to compare accelerometer data taken with an onboard accelerometer in a smartphone (Droid A855) with accelerations recorded by a stand-alone accelerometer (ActiGraph GT3x+).
Methods: A smartphone application was developed to record the time varying acceleration from the Droid’s onboard three dimensional accelerometer. Twenty-seven adolescents wore an ActiGraph on their non-dominant wrist. Each adolescent played three smartphone-based games (e.g., Fish Out of Water, Space Rayders, and Color Hunt) that were designed to promote physical activity (PA). Each game was played 30 minutes a day on each, 4 days in a single week. Activity counts and the sum of the absolute value of the difference (SAD) calculations were employed to calculate PA from the Droid data. Regression analyses were used to assess the correlation between the Droid data and that collected by the ActiGraph.
Results: Droid-based assessment of physical activity in terms of activity counts (R2=0.63) and SAD (R2=0.57) were significantly related (p<.05). While the activity counts and SAD values increased with Actigraph counts for all game, the strongest relationships were with ActiGraph activity measures for Fish Out of Water, a game that encouraged fast walking/running in short distances (R2=0.64 activity counts; R2=0.68 SAD).
Conclusions: This study demonstrated that a smartphone accelerometer application can be used to record PA data that is correlated with the ActiGraph. These results suggest that the onboard accelerometers in ubiquitous computing devices like mobile phones may be a reliable method to assess PA levels and contribute to activity promotion and monitoring.
- Kacie CA Blackman
- Yong Jun Kwon
- A. Katrin Schenk
- Paul A. Estabrooks
ISBNPA 2014 Annual Conference
"Kutumia vifaa vya kupima mwendo na mwendo vya simu za mkononi, ""Accelerometer"" ni njia ya kupima mwendo wa simu za mkononi, na ""Accelerometer"" ni njia ya kupima mwendo wa simu za mkononi, na ""Accelerometer"" ni njia ya kupima mwendo wa simu za mkononi." Mbinu: Programu ya simu ya mkononi ilitengenezwa kurekodi kasi ya wakati kutoka kwa accelerometer ya tatu ya juu ya Droid. Vijana ishirini na saba walivaa ActiGraph kwenye mkono wao usio wa kutawala. Kila kijana alicheza michezo mitatu ya simu ya mkononi (kwa mfano, Samaki nje ya Maji, Space Riders, na Color Hunt) ambayo ilitengenezwa kukuza shughuli za mwili (PA). Mchezo huo ulichezwa kwa dakika 30 kila siku kwa siku nne. Kwa mfano, kwa mfano, hesabu ya shughuli na jumla ya thamani ya jumla ya tofauti (SAD) ilitumika kuhesabu PA kutoka kwa data ya Droid. Uchambuzi wa kurudi nyuma ulitumiwa kutathmini uhusiano kati ya data ya Droid na ile iliyokusanywa na ActiGraph. Utafiti wa Droid unaonyesha kuwa viwango vya utendaji wa mwili (R2 = 0.63) na SAD (R2 = 0.57) vina uhusiano mkubwa (p < 0.05). Wakati hesabu ya shughuli na viwango vya SAD viliongezeka na hesabu za Actigraph kwa mchezo wote, mahusiano ya nguvu zaidi yalikuwa na vipimo vya shughuli za Actigraph kwa Samaki nje ya maji, mchezo ambao ulihimiza kutembea haraka au kukimbia umbali mfupi (R2 = 0.64 hesabu ya shughuli; R2 = 0.68 SAD). Utafiti huu unaonyesha kuwa programu ya Accelerometer ya Smartphone inaweza kutumika kurekodi data ya PA inayohusiana na ActiGraph. Matokeo haya yanaonyesha kwamba accelerometers ndani ya vifaa vya kompyuta kama vile simu za mkononi zinaweza kuwa njia ya kuaminika ya kutathmini viwango vya PA na kuchangia kukuza shughuli na ufuatiliaji. K.A. Blackman, Yong Jun-Kwon, A. Katrin Schenk, Paul A. Estabrook, na wengineo