Distilling the knowledge from handcrafted features for human activity recognition
Human activity recognition is a core problem in intelligent automation systems due to its far-
reaching applications including ubiquitous computing, health-care services, and smart …
reaching applications including ubiquitous computing, health-care services, and smart …
A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Learning deep and shallow features for human activity recognition
Abstract self BACK is an mHealth decision support system used by patients for the self-
management of Lower Back Pain. It uses Human Activity Recognition from wearable …
management of Lower Back Pain. It uses Human Activity Recognition from wearable …
Deep multi-model fusion for human activity recognition using evolutionary algorithms
Machine recognition of the human activities is an active research area in computer vision. In
previous study, either one or two types of modalities have been used to handle this task …
previous study, either one or two types of modalities have been used to handle this task …
TSE-CNN: A two-stage end-to-end CNN for human activity recognition
J Huang, S Lin, N Wang, G Dai, Y Xie… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Human activity recognition has been widely used in healthcare applications such as elderly
monitoring, exercise supervision, and rehabilitation monitoring. Compared with other …
monitoring, exercise supervision, and rehabilitation monitoring. Compared with other …
Learning compact features for human activity recognition via probabilistic first-take-all
With the popularity of mobile sensor technology, smart wearable devices open a
unprecedented opportunity to solve the challenging human activity recognition (HAR) …
unprecedented opportunity to solve the challenging human activity recognition (HAR) …
Novel approaches to human activity recognition based on accelerometer data
An increasing number of works have investigated the use of convolutional neural network
(ConvNets) approaches to perform human activity recognition (HAR) based on wearable …
(ConvNets) approaches to perform human activity recognition (HAR) based on wearable …
Wearable computing for Internet of Things: A discriminant approach for human activity recognition
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …
of its key technologies, the concept of Internet of Things has been encouraged and extended …
InnoHAR: A deep neural network for complex human activity recognition
Human activity recognition (HAR) based on sensor networks is an important research
direction in the fields of pervasive computing and body area network. Existing researches …
direction in the fields of pervasive computing and body area network. Existing researches …
A human activity recognition method based on lightweight feature extraction combined with pruned and quantized CNN for wearable device
Human Activity Recognition (HAR) is becoming an essential part of human life care. Existing
HAR methods are usually developed using a two-level approach, wherein a first-level …
HAR methods are usually developed using a two-level approach, wherein a first-level …