{"id":4,"date":"2011-12-08T11:55:34","date_gmt":"2011-12-08T11:55:34","guid":{"rendered":"http:\/\/project.inria.fr\/template1\/?page_id=4"},"modified":"2022-09-19T13:31:01","modified_gmt":"2022-09-19T11:31:01","slug":"home","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/toyotasmarthome\/","title":{"rendered":"Introduction"},"content":{"rendered":"

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This page introduces\u00a0Toyota Smarthome<\/strong>\u00a0dataset. Smarthome has been recorded in an apartment equipped with 7 Kinect v1 cameras.\u00a0It contains the common daily living activities of 18 subjects. The subjects are senior people in the age range 60-80 years old.\u00a0The dataset has a resolution of 640\u00d7480 and offers 3 modalities<\/strong>: RGB<\/strong> + Depth<\/strong> + 3D Skeleton<\/strong>. The 3D skeleton joints were extracted from RGB.\u00a0For privacy-preserving reasons, the face of the subjects is blurred. Currently,\u00a0 two versions of the dataset are provided: Toyota Smarthome Trimmed and Toyota Smarthome Untrimmed.<\/p>\n

Toyota Smarthome Trimmed<\/strong> has been designed for the activity classification task of 31 activities. The videos were clipped per activity, resulting in a total of 16,115 short RGB+D video samples. \u00a0activities were performed in a natural manner. As a result, the dataset poses a unique combination of challenges: high intra-class variation, high-class imbalance, and activities with similar motion and high duration variance. Activities were annotated with both coarse and fine-grained labels. These characteristics differentiate Toyota Smarthome Trimmed from other datasets for activity classification. [Paper Link<\/a>][Supp<\/a>]<\/p>\n

The data loader and evaluation codes for Toyota Smarthome Trimmed<\/strong> can be found here:<\/p>\n