Recent methods and databases in vision-based hand gesture recognition: A review
Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …
the path for natural human–computer interaction systems. Unresolved challenges such as …
[PDF][PDF] A review of vision based hand gestures recognition
With the ever-increasing diffusion of computers into the society, it is widely believed that
present popular mode of interactions with computers (mouse and keyboard) will become a …
present popular mode of interactions with computers (mouse and keyboard) will become a …
Gesture recognition: A survey
Gesture recognition pertains to recognizing meaningful expressions of motion by a human,
involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an …
involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an …
Deep learning based hand gesture recognition and UAV flight controls
Dynamic hand gesture recognition is a desired alternative means for human-computer
interactions. This paper presents a hand gesture recognition system that is designed for the …
interactions. This paper presents a hand gesture recognition system that is designed for the …
Hand posture and gesture recognition techniques for virtual reality applications: a survey
Motion recognition is a topic in software engineering and dialect innovation with a goal of
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …
Attention based detection and recognition of hand postures against complex backgrounds
A system for the detection, segmentation and recognition of multi-class hand postures
against complex natural backgrounds is presented. Visual attention, which is the cognitive …
against complex natural backgrounds is presented. Visual attention, which is the cognitive …
Barcode readers using the camera device in mobile phones
E Ohbuchi, H Hanaizumi… - 2004 International …, 2004 - ieeexplore.ieee.org
This paper shows new algorithms and the implementations of image reorganization for
EAN/QR barcodes in mobile phones. The mobile phone system used here consists of a …
EAN/QR barcodes in mobile phones. The mobile phone system used here consists of a …
Wearable sensor-based hand gesture and daily activity recognition for robot-assisted living
In this paper, we address natural human-robot interaction (HRI) in a smart assisted living
(SAIL) system for the elderly and the disabled. Two common HRI problems are studied …
(SAIL) system for the elderly and the disabled. Two common HRI problems are studied …
Design and evaluation of a hand gesture recognition approach for real-time interactions
Hand gestures are a natural and intuitive form for human-environment interaction and can
be used as an input alternative in human-computer interaction (HCI) to enhance usability …
be used as an input alternative in human-computer interaction (HCI) to enhance usability …
Hand gesture recognition in automotive human–machine interaction using depth cameras
In this review, we describe current Machine Learning approaches to hand gesture
recognition with depth data from time-of-flight sensors. In particular, we summarise the …
recognition with depth data from time-of-flight sensors. In particular, we summarise the …