[HTML][HTML] Deep learning for intelligent human–computer interaction
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
[HTML][HTML] Human–robot interaction in agriculture: a systematic review
In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices,
human–robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing …
human–robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing …
[HTML][HTML] Real-time hand gesture recognition based on deep learning YOLOv3 model
Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …
Virtual-reality inter-promotion technology for metaverse: A survey
The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
[HTML][HTML] Hand gesture classification using a novel CNN-crow search algorithm
TR Gadekallu, M Alazab, R Kaluri… - Complex & Intelligent …, 2021 - Springer
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …
interactive computational systems. The studies in HCI emphasize on system use, creation of …
[HTML][HTML] A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set
Recent research has focused on developing real-time sign language recognition systems
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …
Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition …
MS Al-Samarraay, AA Zaidan, OS Albahri… - Applied Soft …, 2022 - Elsevier
Several DataGlove wearable electronic devices based on real-time Sign Language
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …
[HTML][HTML] Hand gesture recognition based on auto-landmark localization and reweighted genetic algorithm for healthcare muscle activities
Due to the constantly increasing demand for the automatic localization of landmarks in hand
gesture recognition, there is a need for a more sustainable, intelligent, and reliable system …
gesture recognition, there is a need for a more sustainable, intelligent, and reliable system …
Thermal image-based hand gesture recognition for worker-robot collaboration in the construction industry: A feasible study
Worker-robot collaboration (WRC) is a promising solution for complex construction tasks,
which can integrate the robots' advantages in strength and accuracy with human ability in …
which can integrate the robots' advantages in strength and accuracy with human ability in …