Evidence map›Paper›PMID 34072094›Full record

ArticleSensors (Basel, Switzerland)2021

Research on Discrete Semantics in Continuous Hand Joint Movement Based on Perception and Expression.

Lesong Jia, Xiaozhou Zhou, Hao Qin, Ruidong Bai, Liuqing Wang, Chengqi Xue

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lesong JiaSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0002-3950-0905
Xiaozhou ZhouSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0003-0370-2369
Hao QinSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0002-9522-4669
Ruidong BaiSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Liuqing WangSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.
Chengqi XueSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.

Funding

National Natural Science Foundation of China 71871056National Natural Science Foundation of China 71901061Science and Technology on Avionics Integration Laboratory and Aeronautical Science Fund 20185569008
6 · The paper itself

Abstract

Continuous movements of the hand contain discrete expressions of meaning, forming a variety of semantic gestures. For example, it is generally considered that the bending of the finger includes three semantic states of bending, half bending, and straightening. However, there is still no research on the number of semantic states that can be conveyed by each movement primitive of the hand, especially the interval of each semantic state and the representative movement angle. To clarify these issues, we conducted experiments of perception and expression. Experiments 1 and 2 focused on perceivable semantic levels and boundaries of different motion primitive units from the perspective of visual semantic perception. Experiment 3 verified and optimized the segmentation results obtained above and further determined the typical motion values of each semantic state. Furthermore, in Experiment 4, the empirical application of the above semantic state segmentation was illustrated by using Leap Motion as an example. We ended up with the discrete gesture semantic expression space both in the real world and Leap Motion Digital World, containing the clearly defined number of semantic states of each hand motion primitive unit and boundaries and typical motion angle values of each state. Construction of this quantitative semantic expression will play a role in guiding and advancing research in the fields of gesture coding, gesture recognition, and gesture design.

Indexed as

Hand JointsSemanticsGesturesHandMovementPerceptiondiscreteness of cognitionhand gesturehuman mirroring mechanismLeap Motionsemantic cognition

Identifiers

PMID34072094
PMCPMC8199321

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