Deep Convolutional Support Vector Machines for Human Activity Recognition
Over the past few decades, the Internet of Things has enabled advancements and
innovations to develop modern health care applications. Human Activity Recognition (HAR) …
innovations to develop modern health care applications. Human Activity Recognition (HAR) …
CNN based identifying human activity using smartphone sensors
AA Nithya, K Ishwarya, G Mummaneni… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
Human Activity Recognition has gained greater emphasize in the last few years due to its
widespread applicability and psychological curiosity. This system can be adopted in …
widespread applicability and psychological curiosity. This system can be adopted in …
Human activity recognition through ensemble learning of multiple convolutional neural networks
N Zehra, SH Azeem, M Farhan - 2021 55th Annual Conference …, 2021 - ieeexplore.ieee.org
Human Activity Recognition is a field concerned with the recognition of physical human
activities based on the interpretation of sensor data, including one-dimensional time series …
activities based on the interpretation of sensor data, including one-dimensional time series …
A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone
As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
Wearable sensor data based human activity recognition using deep learning: a new approach
With a tremendous increase in mobile and wearable devices, the study of sensor-based
activity recognition has drawn a lot of attention in the past years. In recent years, the …
activity recognition has drawn a lot of attention in the past years. In recent years, the …
Human Activity Recognition with smartphone sensors data using CNN-LSTM
A Sharma, P Singh, C Madhu, N Garg… - 2022 IEEE Conference …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) utilizing wearable inertial sensors has nowadays become
a new research hotspot due to various advancements in sensor technology. Recently …
a new research hotspot due to various advancements in sensor technology. Recently …
An efficient and lightweight deep learning model for human activity recognition on raw sensor data in uncontrolled environment
NA Choudhury, B Soni - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is the process of identifying daily living activities using a
set of sensors and optimal learning algorithms. It is a convoluted process, as there is no …
set of sensors and optimal learning algorithms. It is a convoluted process, as there is no …
AttnHAR: Human Activity Recognition using Data Collected from Wearable Sensors
M Sethi, M Yadav, M Singh… - 2023 6th International …, 2023 - ieeexplore.ieee.org
In recent times, there has been a massive surge in demand for wearable sensing devices
which accurately decode human activities. These sensors are extensively used in …
which accurately decode human activities. These sensors are extensively used in …
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 …
Convlstm for human activity recognition
R Singla, S Mittal, A Jain, D Gupta - … Proceedings of ICICC 2021, Volume 2, 2022 - Springer
Abstract The research in Human Activity Recognition (HAR) using wearable probes and
pocket devices has intensified to further understand and inherently foresee human behavior …
pocket devices has intensified to further understand and inherently foresee human behavior …