FM: Flexible mapping from one gesture to multiple semantics

Feng, Zhiquan; Yang, Bo; Xu, Tao; Yang, Xiaohui; Xie, Wei; Ai, Changsheng; Chen, Zhenxiang

doi:10.1016/j.ins.2018.02.012

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…is highlights the common problems of lack of intelligence and inflexible mapping in current gesture recognition technology, so that a gesture can only correspond to one semantic, which greatly increases the gesture vocabulary and brings heavy cognitive and operational burdens for human-computer interaction [19]. In order to achieve flexible mapping between gesture and semantics, Feng et al [20] proposed flexible mapping using finger folding speed, gesture's global motion speed, trajectory diameter, movement time, and movement depth as semantic-oriented differential features, which achieved certain results and significantly reduced operators' cognition and operational 2 Scientific Programming load. Feng et al [21] targeted at two basic problems in intelligent interactive interface, namely, error in interface change caused by gesture recognition error and gesture recognition failure.…”

Section: Related Workmentioning

confidence: 99%

“…In order to further test whether the proposed FMFD algorithm achieves its design goals, this paper compares it with smart TV systems, FM algorithms [20], and methods based on guided gesture interaction [25]. In order to make the comparison result more convincing, the scenarios selected in this paper are all interactive scenarios proposed in the smart TV system and other flexible mapping algorithms.…”

Section: Comparative Experimentmentioning

confidence: 99%

“…Experiment 2: in order to verify the performance improvement of the proposed algorithm compared with other flexible mapping algorithms, this paper compares the FMFD algorithm with the FM algorithm proposed by Feng et al [20]. e main idea of FM is to map the same gesture to several different semantics in the same context through SDFBM feature recognition.…”

Section: Comparative Experimentmentioning

confidence: 99%

See 2 more Smart Citations

Research on Intention Flexible Mapping Algorithm for Elderly Escort Robot

Qiu

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et al. 2021

Scientific Programming

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With the development of science and technology and the intensification of the aging of the world’s population, elderly care robots have begun to enter people’s lives. However, the current elderly care system lacks intelligence and is just a simple patchwork of some traditional elderly products, which is not conducive to the needs of the elderly for easy understanding and easy operation. Therefore, this paper proposes a flexible mapping algorithm (FMFD), that is, a gesture can correspond to a flexible mapping of multiple semantics in the same interactive context. First, combine the input gesture with the surrounding environment to establish the current interactive context. Secondly, when the user uses the same gesture to express different semantics, the feature differences formed due to different cognitions are used as the basis to realize the mapping from one gesture to multiple semantics. Finally, four commonly used gestures are designed to demonstrate the results of flexible mapping. Experiments show that compared with the traditional gesture-based human-computer interaction, the proposed flexible mapping scheme greatly reduces the number of gestures that users need to remember, improves the fault tolerance of gestures in the human-computer interaction process, and meets the concept of elderly caregiver robots.

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Section: Related Workmentioning

confidence: 99%

Section: Comparative Experimentmentioning

confidence: 99%

Section: Comparative Experimentmentioning

confidence: 99%

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Research on Intention Flexible Mapping Algorithm for Elderly Escort Robot

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Feng

et al. 2021

Scientific Programming

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“…The user-centered development of such a guidance model can effectively realize human-computer interaction and improve the user's satisfaction [50,51].…”

Section: The Tactile Interactionmentioning

confidence: 99%

A Review of Smart Design Based on Interactive Experience in Building Systems

Zhang

et al. 2020

Sustainability

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Smart building is the result of the penetration of information technology and control technology into traditional buildings, and is the future development direction of buildings. User-centric building smart design can achieve a sustainable life, and smart technology integration based on smart design can support sustainable development and improve user satisfaction, happiness, and overall quality of life. In intelligent design, researchers focus on the “people-oriented” approach, designed to bring users the ultimate interactive experience. Based on the interactive experience principle of smart design in the smart building system, this article classifies and summarizes intelligent design from the “five senses” interaction, including visual interaction, voice interaction, tactile interaction, cognitive interaction, and emotional interaction. We analyze the application of smart design in architecture and discuss how to embody the principles of user-centered interactive experience design in the process of smart design. This article provides a comprehensive and systematic literature review, clarifies the importance of the “people-oriented” approach in the smart design of buildings, and summarizes how to improve the sustainability of intelligent buildings from the perspective of a “people-oriented” approach. This paper proposes future research suggestions and directions and promotes the sustainable development of the smart building.

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Structural Self-Similarity Framework for Virtual Human’s Whole Posture Generation

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FM: Flexible mapping from one gesture to multiple semantics

Cited by 5 publications

References 23 publications

Research on Intention Flexible Mapping Algorithm for Elderly Escort Robot

Research on Intention Flexible Mapping Algorithm for Elderly Escort Robot

A Review of Smart Design Based on Interactive Experience in Building Systems

Structural Self-Similarity Framework for Virtual Human’s Whole Posture Generation

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