… related to deep learning in human activity recognition, we … of human activity recognition
and how motivated deep learning … of deep learning methods for sensor-based human activity …

… Human activity recognition is a key to a lot of applications … in human activity recognition
(HAR) with deep learning. … implemented with conventional machine learning methods. Recently, …

… In this paper, we propose deep convolutional neural networks (convnets) to perform efficient,
effective, and data-adaptive human activity recognition (HAR) using the accelerometer and …

… monitoring systems is human activity recognition (HAR). Built-… The task of recognizing
human activity using a smartphone’s … and real-time human activities. This paper designs a …

… the processes for developing deep learning based human activity recognition and provide
in-depth tutorial on the techniques, implementation procedure and feature learning process. …

… is to develop a robust human activity recognition system based on the smartphone sensors’
data. It seems very feasible to use smartphones for activity recognition as the smartphone is …

… learning algorithms have attracted the researcher’s interest in applying deep learning models
in Human Activity Recognition (… virtual images for activity recognition, as shown in Figure 1. …

… CNN with varying kernel dimension along with bi-directional long short-term memory (BiLSTM)
has been proposed as a new deep neural network for human activity detection to …

… variety of body activities. In this paper, we address the human activity recognition problem as
… particular, we propose to utilize a Deep Belief Network (DBN) model for successful human …

… Daily Activity … human activities recognition. Another technique [10] uses skeletal data from
a depth camera and developed a machine-learning algorithm to recognize the human activity. …