Multivariate linear regression based activity recognition and classification
S. Gayathri, A. Saraswathi Priyadharshini, P. T. V. Bhuvaneswari · 2014
In this paper various activities such as sitting, standing and walking are recognized and classified using multivariate linear regression algorithm. Accuracy of recognition has been found to vary in a free living environment compared to the laboratory conditions. Hence the proposed work has considered free living environment. Zephyr BioHarness which has 3-axis accelerometer sensor is used for data acquisition. The proposed algorithm has been simulated in MATLAB. From the results obtained the accuracy of sitting activity is found to be 99.5 ± 0.3%, for standing activity 99.6 ± 0.4% and for walking activity 96.4 ± 0.2%. This shows more accuracy of 6%,7%,4%for sitting, standing and walking activities with the work taken for comparison.