Palm glove: wearable glove based on palm-camera for thumb-to-finger tap recognition

Yang, Dongseok; Choi, Younggeun

doi:10.1109/ictc.2018.8539616

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…For example, grip could be detected if the vertical positions of fingertips were lower than the threshold value. Thumb-to-finger tap gesture could also be easily detected using only the 2-dimensional joint position data [ 22 ]. These data were then used to interface with the VR game.…”

Section: Methodsmentioning

confidence: 99%

Cognitive Training Using Fully Immersive, Enriched Environment Virtual Reality for Patients With Mild Cognitive Impairment and Mild Dementia: Feasibility and Usability Study

Yun¹,

Kang²,

Yang³

et al. 2020

JMIR Serious Games

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Background Cognitive training using virtual reality (VR) may result in motivational and playful training for patients with mild cognitive impairment and mild dementia. Fully immersive VR sets patients free from external interference and thus encourages patients with cognitive impairment to maintain selective attention. The enriched environment, which refers to a rich and stimulating environment, has a positive effect on cognitive function and mood. Objective The aim of this study was to investigate the feasibility and usability of cognitive training using fully immersive VR programs in enriched environments with physiatrists, occupational therapists (OTs), and patients with mild cognitive impairment and mild dementia. Methods The VR interface system consisted of a commercialized head-mounted display and a custom-made hand motion tracking module. We developed the virtual harvest and cook programs in enriched environments representing rural scenery. Physiatrists, OTs, and patients with mild cognitive impairment and mild dementia received 30 minutes of VR training to evaluate the feasibility and usability of the test for cognitive training. At the end of the test, the usability and feasibility were assessed by a self-report questionnaire based on a 7-point Likert-type scale. Response time and finger tapping were measured in patients before and after the test. Results Participants included 10 physiatrists, 6 OTs, and 11 patients with mild cognitive impairment and mild dementia. The mean scores for overall satisfaction with the program were 5.75 (SD 1.00) for rehabilitation specialists and 5.64 (SD 1.43) for patients. The response time of the dominant hand in patients decreased after the single session of cognitive training using VR, but this was not statistically significant (P=.25). There was no significant change in finger tapping in either the right or left hand (P=.48 and P=.42, respectively). None of the participants reported headaches, dizziness, or any other motion sickness after the test. Conclusions A fully immersive VR cognitive training program may be feasible and usable in patients with mild cognitive impairment and mild dementia based on the positive satisfaction and willingness to use the program reported by physiatrists, OTs, and patients. Although not statistically significant, decreased response time without a change in finger tapping rate may reflect a temporary increase in attention after the test. Additional clinical trials are needed to investigate the effect on cognitive function, mood, and physical outcomes.

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Section: Methodsmentioning

confidence: 99%

Cognitive Training Using Fully Immersive, Enriched Environment Virtual Reality for Patients With Mild Cognitive Impairment and Mild Dementia: Feasibility and Usability Study

Yun¹,

Kang²,

Yang³

et al. 2020

JMIR Serious Games

Self Cite

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“…Edge computing, as a new computing model, moves computing tasks from the central server to the edge node of the network, which is close to the source of data generation, which can not only reduce the delay of data transmission but also help reduce the pressure on the central server to a certain extent. For applications that require fast response, edge computing has obvious advantages [5,6] .…”

Section: Rational Allocation and Optimization Of Computing Resourcesmentioning

confidence: 99%

Optimization and Performance Analysis of Intelligent Video AI Dynamic

Xing

2024

JERA

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In today’s information age, video data, as an important carrier of information, is growing explosively in terms of production volume. The quick and accurate extraction of useful information from massive video data has become a focus of research in the field of computer vision. AI dynamic recognition technology has become one of the key technologies to address this issue due to its powerful data processing capabilities and intelligent recognition functions. Based on this, this paper first elaborates on the development of intelligent video AI dynamic recognition technology, then proposes several optimization strategies for intelligent video AI dynamic recognition technology, and finally analyzes the performance of intelligent video AI dynamic recognition technology for reference.

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“…Some works have a variety of ways to capture movements. In [23] a camera is used to detect the movement of the fingers, already in [24] a device called LeapMotion is used to capture the movement of the hand and arm. In the same context, the paper presented in [25] shows a rehabilitation system using a virtual reality system with sensory, visual, and auditory feedback.…”

Section: Related Workmentioning

confidence: 99%

Proposal of the Tactile Glove Device

Torquato

Noronha

et al. 2019

Sensors

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This project aims to develop a tactile glove device and a virtual environment inserted in the context of tactile internet. The tactile glove allows a human operator to interact remotely with objects from a 3D environment through tactile feedback or tactile sensation. In other words, the human operator is able to feel the contour and texture from virtual objects. Applications such as remote diagnostics, games, remote analysis of materials, and others in which objects could be virtualized can be significantly improved using this kind of device. These gloves have been an essential device in all research on the internet next generation called “Tactile Internet”, in which this project is inserted. Unlike the works presented in the literature, the novelty of this work is related to architecture, and tactile devices developed. They are within the 10 ms round trip latency limits required in a tactile internet environment. Details of hardware and software designs of a tactile glove, as well as the virtual environment, are described. Results and comparative analysis about round trip latency time in the tactile internet environment is developed.

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Palm glove: wearable glove based on palm-camera for thumb-to-finger tap recognition

Cited by 7 publications

References 6 publications

Cognitive Training Using Fully Immersive, Enriched Environment Virtual Reality for Patients With Mild Cognitive Impairment and Mild Dementia: Feasibility and Usability Study

Cognitive Training Using Fully Immersive, Enriched Environment Virtual Reality for Patients With Mild Cognitive Impairment and Mild Dementia: Feasibility and Usability Study

Optimization and Performance Analysis of Intelligent Video AI Dynamic

Proposal of the Tactile Glove Device

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