Purpose: This study tested the Validity of four motion sensors for measurin
g energy expenditure (EE) during moderate intensity physical activities in
field and laboratory settings. We also evaluated the accuracy of the EE val
ues for selected moderate activities listed in the 1993 Compendium of Physi
cal. Activities. Methods: A total of 81 participants (age 19-74 yr) complet
ed selected tasks from six general categories: yardwork, housework, occupat
ion, family care, conditioning, and recreation. Twelve individuals performe
d each of the 28 activities examined. During each activity, EE was measured
using a portable metabolic measurement system. Participants also wore thre
e accelerometers (Computer Science and Applications [CSA], inc. model 7164;
Caltrac; and Kenz Select 2) and the Yamax SW-701 electronic pedometer. For
the CSA device, three previously developed regression equations were used
to convert accelerometer scores to EE. Results: The mean error scores (indi
rect calorimetry minus device) across all activities were: CSA1, 0.97 MET;
CSA2, 0.47 MET, CSA3, 0.05 MET; Caltrac, 0.83 MET; Kenz, 0.96 MET; and Yama
x, 1.12 MET. The correlation coefficients between indirect calorimetry and
motion sensors ranged from r = 0.33 to r = 0.62. The energy cost for power
mowing and sweeping/mopping was higher than that Listed in the 1993 Compend
ium (P < 0.05), and the cost for several household and recreational activit
ies was lower (P < 0.05). Conclusion: Motion sensors tended to overpredict
EE during walking. However, they underpredicted the energy cost of many oth
er activities because of an inability to detect arm movements and external
work. These findings illustrate some of the limitations of using motion sen
sors to predict EE in field settings.