Acceptance of dance training system based on augmented reality and technology acceptance model (TAM)
Abstract The advancement in Computer Vision (CV) has evolved drastically from image
processing to object recognition, tracking video, restoration of images, three-dimensional …
processing to object recognition, tracking video, restoration of images, three-dimensional …
Structured dynamic time warping for continuous hand trajectory gesture recognition
Continuous hand gesture recognition is an important area of HCI and challenged by various
writing habits and unconstrained hand movement. In this paper, we propose a Structured …
writing habits and unconstrained hand movement. In this paper, we propose a Structured …
Development of a human metabolic rate prediction model based on the use of Kinect-camera generated visual data-driven approaches
Predicting thermal comfort is one of the primary building research domains due to its
technical and environmental significance. A metabolic rate, one of the significant variables …
technical and environmental significance. A metabolic rate, one of the significant variables …
A taxonomic overview and pilot study for evaluation of Augmented Reality based posture matching technique using Technology Acceptance Model
Motor skill training, posture matching and Augmented Reality (AR) based learning
technology are considered to be the cornerstones of dance learning paradigm. In this paper …
technology are considered to be the cornerstones of dance learning paradigm. In this paper …
Improving bag-of-poses with semi-temporal pose descriptors for skeleton-based action recognition
Over the last few decades, human action recognition has become one of the most
challenging tasks in the field of computer vision. Effortless and accurate extraction of 3D …
challenging tasks in the field of computer vision. Effortless and accurate extraction of 3D …
Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks
Hand gestures are spatio-temporal patterns which can be characterized by collections of
spatio-temporal features. Recognition of hand gestures is to find the re-occurrences of such …
spatio-temporal features. Recognition of hand gestures is to find the re-occurrences of such …
Adaptive hough transform with optimized deep learning followed by dynamic time warping for hand gesture recognition
M Kowdiki, A Khaparde - Multimedia Tools and Applications, 2022 - Springer
Hand gesture is a natural interaction method, and hand gesture recognition is familiar in
human–computer interaction. Yet, the variations, as well as the complexity of hand gestures …
human–computer interaction. Yet, the variations, as well as the complexity of hand gestures …
NetNPG: Nonoverlapping pattern matching with general gap constraints
Pattern matching (PM) with gap constraints (or flexible wildcards) is one of the essential
tasks in repetitive sequential pattern mining (or sequence pattern mining), since it can …
tasks in repetitive sequential pattern mining (or sequence pattern mining), since it can …
A new approach to fall detection based on the human torso motion model
L Yao, W Min, K Lu - Applied Sciences, 2017 - mdpi.com
Featured Application In our proposed method, a new feature named torso angle is firstly
proposed and imported in the human torso motion model (HTMM) for fall detection. By …
proposed and imported in the human torso motion model (HTMM) for fall detection. By …
Support vector machine approach to fall recognition based on simplified expression of human skeleton action and fast detection of start key frame using torso angle
W Min, L Yao, Z Lin, L Liu - IET Computer Vision, 2018 - Wiley Online Library
Falls sustained by subjects can have severe consequences, especially for elderly persons
living alone. A fall detection method for indoor environments based on the Kinect sensor and …
living alone. A fall detection method for indoor environments based on the Kinect sensor and …