Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
Emerging dynamic memristors for neuromorphic reservoir computing
Reservoir computing (RC), as a brain-inspired neuromorphic computing algorithm, is
capable of fast and energy-efficient temporal data analysis and prediction. Hardware …
capable of fast and energy-efficient temporal data analysis and prediction. Hardware …
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors
Gesture recognition using machine-learning methods is valuable in the development of
advanced cybernetics, robotics and healthcare systems, and typically relies on images or …
advanced cybernetics, robotics and healthcare systems, and typically relies on images or …
Continuous human activity classification from FMCW radar with Bi-LSTM networks
A Shrestha, H Li, J Le Kernec… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …
area of research that yet presents outstanding challenges to address. In real environments …
GRU-INC: An inception-attention based approach using GRU for human activity recognition
TR Mim, M Amatullah, S Afreen, MA Yousuf… - Expert Systems with …, 2023 - Elsevier
Abstract Human Activity Recognition (HAR) is very useful for the clinical applications, and
many machine learning algorithms have been successfully implemented to achieve high …
many machine learning algorithms have been successfully implemented to achieve high …
Automatic recognition of human interaction via hybrid descriptors and maximum entropy markov model using depth sensors
Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …
environments with cluttered backgrounds from video sequences. Advancements in computer …
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition
Existing vision-based action recognition is susceptible to occlusion and appearance
variations, while wearable sensors can alleviate these challenges by capturing human …
variations, while wearable sensors can alleviate these challenges by capturing human …
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data
Abstract Information fusion refers to derive an overall precise description of data by using
certain fusion technique for utilizing the complementary information from multiple sources of …
certain fusion technique for utilizing the complementary information from multiple sources of …
Modeling two-person segmentation and locomotion for stereoscopic action identification: A sustainable video surveillance system
Due to the constantly increasing demand for automatic tracking and recognition systems,
there is a need for more proficient, intelligent and sustainable human activity tracking. The …
there is a need for more proficient, intelligent and sustainable human activity tracking. The …