![]() ![]() The activity recognition environment and scenario has been designed to generate many activity primitives, yet in a realistic manner. Sensors: Sensors: Two embedded sensors, i.e., Accelerometer and Gyroscope, sampled at the highest frequency the respective device allows.ĭevices: 4 smartwatches (2 LG watches, 2 Samsung Galaxy Gears)Ĩ smartphones (2 Samsung Galaxy S3 mini, 2 Samsung Galaxy S3, 2 LG Nexus 4, 2 Samsung Galaxy S+) Reading were recorded while users executed activities scripted in no specific order carrying smartwatches and smartphones.Īctivities: ‘Biking’, ‘Sitting’, ‘Standing’, ‘Walking’, ‘Stair Up’ and ‘Stair down’. The dataset contains the readings of two motion sensors commonly found in smartphones. The datasets were used for the results and analyses produced in. ![]() The Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatch sensors consists of two datasets devised to investigate sensor heterogeneities' impacts on human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc). ![]()
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