Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
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 …
Wearable sensor-based human activity recognition with transformer model
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with leap motion
Due to the recent development of machine learning and sensor innovations, hand gesture
recognition systems become promising for the digital entertainment field. In this paper, we …
recognition systems become promising for the digital entertainment field. In this paper, we …
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
Despite the variety of sensors that can be used in a smart home or office setup, for
monitoring energy consumption and assisting users to save energy, their usefulness is …
monitoring energy consumption and assisting users to save energy, their usefulness is …
Convae-lstm: Convolutional autoencoder long short-term memory network for smartphone-based human activity recognition
The self-regulated recognition of human activities from time-series smartphone sensor data
is a growing research area in smart and intelligent health care. Deep learning (DL) …
is a growing research area in smart and intelligent health care. Deep learning (DL) …
Human action recognition using deep learning methods on limited sensory data
In recent years, due to the widespread usage of various sensors action recognition is
becoming more popular in many fields such as person surveillance, human-robot interaction …
becoming more popular in many fields such as person surveillance, human-robot interaction …
Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition
Edge computing aims to integrate computing into everyday settings, enabling the system to
be context-aware and private to the user. With the increasing success and popularity of deep …
be context-aware and private to the user. With the increasing success and popularity of deep …
Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
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 …