Human physical activity recognitionDeep learningConvolutional neural networksMicrosoft KinectMSRC-12 datasetIn this paper, we use data from the Microsoft Kinect sensor that processes the captured image of a person, thus, reducing the number of data in just joints on each frame. Then, we propose a...
The MSRC-12 dataset is captured by the Kinect sensor, it consists of a sequence of human body articulation movements. In addition, the FastDTW algorithm is employed to normalize the data frames number. The three different methods proposed in this paper are: the 3D coordinates method, the ...
The Microsoft Research Cambridge (MSRC-12) is the dataset used, it consists in a sequence of human body articulation movements represented by the Kinect Skeleton. In addition, the FastDTW algorithm is employed to normalize the data frames number. Three different methods are proposed in this ...