Human activity recognition using recurrent neural networks
Human activity recognition using smart home sensors is one of the bases of ubiquitous
computing in smart environments and a topic undergoing intense research in the field of …
computing in smart environments and a topic undergoing intense research in the field of …
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) …
Daily activity recognition with large-scaled real-life recording datasets based on deep neural network using multi-modal signals
In this study, toward the development of smartphone-based monitoring system for life
logging, we collect over 1,400 hours of data by recording including both the outdoor and …
logging, we collect over 1,400 hours of data by recording including both the outdoor and …
1-DCNN with Stacked LSTM Architecture for Human Activity Recognition Using Wearable Sensing Data
P Krishnaleela, R Meena Prakash - IETE Journal of Research, 2024 - Taylor & Francis
Human activity recognition (HAR) has grown more important in the domains of pervasive
computing, human behavior analysis, assistive health care, and Human–Computer …
computing, human behavior analysis, assistive health care, and Human–Computer …
Wearable sensor-based human activity recognition with hybrid deep learning model
It is undeniable that mobile devices have become an inseparable part of human's daily
routines due to the persistent growth of high-quality sensor devices, powerful computational …
routines due to the persistent growth of high-quality sensor devices, powerful computational …
A Deep Learning Framework for Smartphone Based Human Activity Recognition
M Mallik, G Sarkar, C Chowdhury - Mobile Networks and Applications, 2023 - Springer
Abstract Human Activity Recognition (HAR) has earned a lot of importance in recent years
due to its applications in various domains including smart healthcare, entertainment …
due to its applications in various domains including smart healthcare, entertainment …
Deep convolutional neural networks for human activity recognition with smartphone sensors
CA Ronao, SB Cho - … International Conference, ICONIP 2015, November 9 …, 2015 - Springer
Human activity recognition (HAR) using smartphone sensors utilize time-series, multivariate
data to detect activities. Time-series data have inherent local dependency characteristics …
data to detect activities. Time-series data have inherent local dependency characteristics …
Joint learning of temporal models to handle imbalanced data for human activity recognition
Human activity recognition has become essential to a wide range of applications, such as
smart home monitoring, health-care, surveillance. However, it is challenging to deliver a …
smart home monitoring, health-care, surveillance. However, it is challenging to deliver a …
Convolutional and recurrent neural networks for activity recognition in smart environment
Abstract Convolutional Neural Networks (CNN) are very useful for fully automatic extraction
of discriminative features from raw sensor data. This is an important problem in activity …
of discriminative features from raw sensor data. This is an important problem in activity …
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 …