HUMAN ACTIVITY RECOGNITION THROUGH MICROSOFT KINECT: A REVIEW

Authors

  • Richa Panchasara Dept. of Computer Engineering, Smt. S. R. Patel Engineering College Dabhi-Unjha, Mahesana, India
  • Saurabh Shrivastava Member, IEEE, Dept. of Computer Engineering, Smt. S. R. Patel Engineering, College Dabhi-Unjha, Mahesana, India
  • Ramesh Kumar Thakur Member, IEEE, Dept. of Computer Engineering, Smt. S. R. Patel Engineering, College Dabhi-Unjha, Mahesana, India

Keywords:

Activity recognition, Skeleton, Kinect sensor.

Abstract

This is small summary about Human activity recognition. I display a technique for perceiving human exercises utilizing data detected by a Microsoft Kinect. Movement acknowledgment expects to perceive the activities and objectives of at least one specialists from a progression of perceptions on the individual's activities and the ecological conditions. Human activity recognition method is consisting of single-layered approaches and hierarchy approaches. Human activity recognition performed using kinect sensor for taking images as an input and Sequence of Skeleton matrix obtained from kinect is further applied to various classification algorithm .Classification algorithm taken into account are such as K-NN, SVM, J48 classification.

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Published

2021-11-09

How to Cite

Panchasara, R., Shrivastava, S., & Kumar Thakur, R. (2021). HUMAN ACTIVITY RECOGNITION THROUGH MICROSOFT KINECT: A REVIEW. International Journal of Technical Innovation in Modern Engineering & Science, 3(3), 50–55. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/1244