作者
Vaibhav Soni, Himanshu Yadav, Vijay Bhaskar Semwal, Bholanath Roy, Dilip Kumar Choubey, Dheeresh K Mallick
发表日期
2023/1/1
图书
Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021
页码范围
493-503
出版商
Springer Nature Singapore
简介
Nowadays, most smartphones feature a number of strong sensors, such as direction, network, location, and motion sensors. Motion and inertial sensors (i.e., accelerometer, gyroscope, etc.) are particularly popular in human activity recognition (HAR) for detecting human physical activity which helps in many research areas of the Internet of healthcare things (IoHT) including several patient’s diseases such as Parkinson, obesity, cardiovascular, and diabetes. Deep learning (DL) techniques have been increasingly popular over the years as a result of their significant outcomes. The use of deep learning techniques to recognize human physical activity in wearable and mobile sensor situations has also gotten a lot of attention from around the world. In this paper, a deep neural network (DNN) combining bidirectional long short-term memory (Bi-LSTM) and convolutional neural network (CNN) is proposed. The …
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V Soni, H Yadav, VB Semwal, B Roy, DK Choubey… - … Learning, Image Processing, Network Security and …, 2023