Designing Real-Time User-Interface Control System with Motion Gestures Recognition Via Non-Contact Capacitive Sensing

Lee, Hunmin; Kim, Young‐Chul

doi:10.2139/ssrn.4357004

Cited by 3 publications

(1 citation statement)

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“…However, the video won't match the style of information in the research. Typically, the video has a variety of factors, and the postures of human bodies are consistent at various levels, not an obvious interval of posture change [13]. At the same time that manual video editing is used, it takes a lot to encounter social dance moves, and the researchers can't guarantee the accuracy of video editing.…”

Section: Action Sequence Segmentation Methodsmentioning

confidence: 99%

Dance somersault gesture recognition based on multi-scale depth feature fusion

Huang¹

2023

Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022)

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In order to explore the problem of dance somersault gesture recognition, a kind of dance somersault gesture recognition based on multi-scale depth feature fusion is proposed. Methods Through the information recommendation of key technical problems and solutions based on multi-scale depth feature fusion, the research of dance somersault gesture recognition was explored. The research shows that the efficiency of dance somersault gesture recognition based on multi-scale depth feature fusion is about 4.6% higher than that of traditional methods. The acquisition of main video information has always been inclined to obtain video key frames. However, in the face of videos with strong continuity and low repetition between human posture sequences in various movements, only key frames can't represent all the effective information of the videos. Most algorithms excessively pursue the differences between action categories, thus ignoring the degree of "cohesion" between simple actions within actions.

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Section: Action Sequence Segmentation Methodsmentioning

confidence: 99%

Dance somersault gesture recognition based on multi-scale depth feature fusion

Huang¹

2023

Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022)

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Gesture centric interaction: evaluating hand and head gestures in touchless cursor control

Thushara,

Adithya,

Sreekanth

2024

Ergonomics

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Recent Advances on Capacitive Proximity Sensors: From Design and Materials to Creative Applications

Moheimani

Hosseini

Mohammadi

et al. 2022

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Capacitive proximity sensors (CPSs) have recently been a focus of increased attention because of their widespread applications, simplicity of design, low cost, and low power consumption. This mini review article provides a comprehensive overview of various applications of CPSs, as well as current advancements in CPS construction approaches. We begin by outlining the major technologies utilized in proximity sensing, highlighting their characteristics and applications, and discussing their advantages and disadvantages, with a heavy emphasis on capacitive sensors. Evaluating various nanocomposites for proximity sensing and corresponding detecting approaches ranging from physical to chemical detection are emphasized. The matrix and active ingredients used in such sensors, as well as the measured ranges, will also be discussed. A good understanding of CPSs is not only essential for resolving issues, but is also one of the primary forces propelling CPS technology ahead. We aim to examine the impediments and possible solutions to the development of CPSs. Furthermore, we illustrate how nanocomposite fusion may be used to improve the detection range and accuracy of a CPS while also broadening the application scenarios. Finally, the impact of conductance on sensor performance and other variables that impact the sensitivity distribution of CPSs are presented.

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Designing Real-Time User-Interface Control System with Motion Gestures Recognition Via Non-Contact Capacitive Sensing

Cited by 3 publications

References 0 publications

Dance somersault gesture recognition based on multi-scale depth feature fusion

Dance somersault gesture recognition based on multi-scale depth feature fusion

Gesture centric interaction: evaluating hand and head gestures in touchless cursor control

Recent Advances on Capacitive Proximity Sensors: From Design and Materials to Creative Applications

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