
Using Non-Linear Support Vector Machines for Detection of Activities of Daily Living
Author(s) -
Muhammad Ahmer,
Milind Shah,
Syed M. Zafi S. Shah,
Syed Asad Ali Shah,
Bhawani Shankar Chowdhry,
Aunsa Shah,
Khadim Hussain Bhatti
Publication year - 2017
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2017/v10i36/119182
Subject(s) - support vector machine , computer science , activities of daily living , accelerometer , autoregressive model , activity recognition , gyroscope , artificial intelligence , inertial measurement unit , machine learning , sitting , mathematics , engineering , statistics , medicine , pathology , psychiatry , aerospace engineering , operating system , psychology