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Published in:
2018 | OriginalPaper | Chapter
Posture Activity Prediction Using Microsoft Azure
Authors : Mirza Čurić, Jasmin Kevrić
Published in: Advanced Technologies, Systems, and Applications II
Publisher: Springer International Publishing
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Abstract
Recently research on Human Activity Recognition (HAR) has been reported on systems showing good overall recognition performance. A machine learning based HAR classifier was proposed in several experimental setups. A public domain dataset comprising 165,633 samples was used for this purpose. Models of machine learning algorithms are built up using Azure Machine Learning studio. Based on the mentioned dataset, and previous work we have done 5 experiments. First, we have done experiments for classifying suitable algorithms for further experiments. Other experiment is trained on male data, tested on female data and vice versa. Than, we separated each subject from whole dataset. Each of them was used as a test model while other 3 subjects were in train model. In the last experiment each subject data is trained and tested separately. It achieved the highest overall performance. Currently, it is not possible to build subject-independent method for posture activity detection.