The dataset for the SPHERE challenge consists on a multimodal activity recognition dataset consisting of accelerometer, RGB-D and environmental data. Accelerometer is samplled at 20 Hz and given in its raw format. Raw video is not given in order to preserve anonymity of the participants. Instead, extracted features that relate to the centre of mass and bounding box of the identified persons are provided. Environmental data consists of Passive Infra-Red (PIR) sensors, and these is given in raw format.

Twenty (posture/ambulation) activities labels are annotated in the dataset.

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