A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices.

ABSTRACT: We present a multi-device and multi-modal dataset, called WEEE, collected from 17 participants while they were performing different physical activities. WEEE contains: (1) sensor data collected using seven wearable devices placed on four body locations (head, ear, chest, and wrist); (2) respiratory data collected with an indirect calorimeter serving as ground-truth information; (3) demographics and body composition data (e.g., fat percentage); (4) intensity level and type of physical activities, along with their corresponding metabolic equivalent of task (MET) values; and (5) answers to questionnaires about participants' physical activity level, diet, stress and sleep. Thanks to the diversity of sensors and body locations, we believe that the dataset will enable the development of novel hu

SUBMITTER: Gashi S 

PROVIDER: S-EPMC9436988 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature