OPPORTUNITY: Wearable, Object and Ambient Sensor Activity Data
Body-worn, object and ambient sensor recordings of daily activities from four participants: 24 runs, 869,387 samples, 242 sensor channels and seven annotation tracks.
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Body-worn, object and ambient sensor recordings of daily activities from four participants: 24 runs, 869,387 samples, 242 sensor channels and seven annotation tracks.
View DatasetAccelerometer and gyroscope data from nine users carrying eight phones and four watches at once: 33.7 million rows built to study device heterogeneity.
View Dataset396,602 rows and 33 columns of smartphone motion signals and labels; the publisher describes 20 participants with and without mobility disabilities.
View Dataset1,143,070 rows across 80 activity traces from 10 participants; each trace has 78 fields from five IMUs, a smartphone and activity/fatigue metadata.
View Dataset6,461,328 annotated samples from 22 free-living participants wearing two accelerometers; CSVs contain eight core fields, with extra index columns in three files.
View DatasetSensor recordings of activities by a single user in a smart home, using PIR, reed switches, force sensors, light, temperature/humidity and smart plugs; includes three CSV files for analysis.
View DatasetTime-series accelerometer and gyroscope data from smartphones and smartwatches carried by 51 subjects performing 18 activities, suitable for human activity recognition and motion-based biometrics.[web:119][web:123][web:137]
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