Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
The role of deep learning in manufacturing applications: Challenges and opportunities
There is a growing interest in using deep learning technologies within the manufacturing
industry to improve quality, productivity, safety, and efficiency, while also reducing costs and …
industry to improve quality, productivity, safety, and efficiency, while also reducing costs and …
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …
Ensem-HAR: An ensemble deep learning model for smartphone sensor-based human activity recognition for measurement of elderly health monitoring
Biomedical images contain a huge number of sensor measurements that can provide
disease characteristics. Computer-assisted analysis of such parameters aids in the early …
disease characteristics. Computer-assisted analysis of such parameters aids in the early …
A lightweight deep learning model for human activity recognition on edge devices
Abstract Human Activity Recognition (HAR) using wearable and mobile sensors has gained
momentum in last few years, in various fields, such as, healthcare, surveillance, education …
momentum in last few years, in various fields, such as, healthcare, surveillance, education …
A multichannel CNN-GRU model for human activity recognition
L Lu, C Zhang, K Cao, T Deng, Q Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is one of the important research areas in pervasive
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …
A Novel CNN-based Bi-LSTM parallel model with attention mechanism for human activity recognition with noisy data
X Yin, Z Liu, D Liu, X Ren - Scientific Reports, 2022 - nature.com
Boosted by mobile communication technologies, Human Activity Recognition (HAR) based
on smartphones has attracted more and more attentions of researchers. One of the main …
on smartphones has attracted more and more attentions of researchers. One of the main …
Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
M Alessandrini, G Biagetti, P Crippa, L Falaschetti… - Electronics, 2021 - mdpi.com
Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …
and other physiological parameters and is commonly implemented in wearable devices …
Sense and learn: recent advances in wearable sensing and machine learning for blood glucose monitoring and trend-detection
Diabetes mellitus is characterized by elevated blood glucose levels, however patients with
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …
A survey of deep learning based models for human activity recognition
NS Khan, MS Ghani - Wireless Personal Communications, 2021 - Springer
Abstract Human Activity Recognition (HAR) is a process of recognizing human activities
automatically based on streaming data obtained from various sensors, such as, inertial …
automatically based on streaming data obtained from various sensors, such as, inertial …