Activity Estimation Using Regression Technique

Estimation of human activities using regression techniques has been performed in this paper. The activities considered for investigation are sitting, standing and walking. As the number of independent variable considered in the proposed work is more than two, Multiple Variate Regression (MVR) technique is applied to estimate the activities. From the performance analysis, it is found that this technique results in an overall accuracy of 99.8% of the activity sitting, 99.85% of the activity standing and 99.95% for the activity walking. However, the process involved in estimation is found to be time consuming. As the process is carried out in real time, in order to reduce the time consumption, the study is extended to Multiple Linear Regression (MLR) technique. From the analysis, it is found that MLR technique yields better result when compared to the MVR technique in terms of time consumption without compromising accuracy.