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 …
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
Real-time hand gesture recognition using fine-tuned convolutional neural network
Hand gesture recognition is one of the most effective modes of interaction between humans
and computers due to being highly flexible and user-friendly. A real-time hand gesture …
and computers due to being highly flexible and user-friendly. A real-time hand gesture …
Deep learning-based sign language recognition system for static signs
A Wadhawan, P Kumar - Neural computing and applications, 2020 - Springer
Sign language for communication is efficacious for humans, and vital research is in progress
in computer vision systems. The earliest work in Indian Sign Language (ISL) recognition …
in computer vision systems. The earliest work in Indian Sign Language (ISL) recognition …
CNN based feature extraction and classification for sign language
Hand gesture is one of the most prominent ways of communication since the beginning of
the human era. Hand gesture recognition extends human-computer interaction (HCI) more …
the human era. Hand gesture recognition extends human-computer interaction (HCI) more …
Artificial intelligence and its role in near future
J Shabbir, T Anwer - arXiv preprint arXiv:1804.01396, 2018 - arxiv.org
AI technology has a long history which is actively and constantly changing and growing. It
focuses on intelligent agents, which contain devices that perceive the environment and …
focuses on intelligent agents, which contain devices that perceive the environment and …
Sign language recognition systems: A decade systematic literature review
A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …
Literature Review and a classification scheme for it. This is the first identifiable academic …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Deep learning-based anomaly detection in video surveillance: A survey
Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …
increased attention from the research community. There is great demand for intelligent …