Principal coefficient encoding for subject-independent human activity analysis

• Published in: International journal of electrical and computer engineering (Malacca, Malacca) Vol. 12; no. 4; p. 4391
• Main Authors: Han, Pang Ying, Raja Sekaran, Sarmela Anak Perempuan, Yin, Ooi Shih, Guang, Tan Teck
• Format: Journal Article
• Language: English
• Published: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2022
• Subjects: Activity recognition; Artificial neural networks; Back propagation; Back propagation networks; Belief networks; Coders; Coefficients; Deep learning; Machine learning; Neural networks; Training

Tracking human physical activity using smartphones is an emerging trend in healthcare monitoring and healthy lifestyle management. Neural networks are broadly used to analyze the inertial data of activity recognition. Inspired by the autoencoder neural networks, we propose a layer-wise network, name...