Activity Recognition for Cognitive Assistance Using Body Sensors Data and Deep Convolutional Neural Network

In this paper, we propose a robust activity recognition approach for smart healthcare using body sensors and deep convolutional neural network (CNN). We analyze signals from different body sensors for healthcare, such as ECG, magnetometer, accelerometer, and gyroscope sensors. After extracting salient features from the sensor data based on Gaussian kernel-based principal component analysis and Z-score normalization, a deep activity CNN is...