Multi-finger surface visuo-haptic rendering using electrostatic stimulation with force-direction sensing gloves

Nakamura, T.; Yamamoto, Akio

doi:10.1109/haptics.2014.6775504

Cited by 9 publications

(4 citation statements)

References 12 publications

(16 reference statements)

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“…Kokubun et al [59] described a visuo-haptic system to represent normal and shear forces in a mobile device through pseudo haptic interaction and a subsequent tactile interface to evoke the haptic sensation without using haptic devices. Nakamura and Yamamoto [60] described a prototype of a visuo-haptic system with multitouch surface interaction that uses direct electrostatic stimulation as feedback. They use haptic gloves on a multitactile screen report that the rendering experiments for dynamic objects revealed a problem known as "object stiction", which is exclusive to multi-touch haptic systems and is caused by the non-directional nature of electrostatic stimulation that appears when an object is pinched and dragged at the same time.…”

Section: Dentistrymentioning

confidence: 99%

Systematic Review of Multimodal Human–Computer Interaction

et al. 2022

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This document presents a systematic review of Multimodal Human–Computer Interaction. It shows how different types of interaction technologies (virtual reality (VR) and augmented reality, force and vibration feedback devices (haptics), and tracking) are used in different domains (concepts, medicine, physics, human factors/user experience design, transportation, cultural heritage, and industry). A systematic literature search was conducted identifying 406 articles initially. From these articles, we selected 112 research works that we consider most relevant for the content of this article. The articles were analyzed in-depth from the viewpoint of temporal patterns, frequency of usage in types of technology in different domains, and cluster analysis. The analysis allowed us to answer relevant questions in searching for the next steps in work related to multimodal HCI. We looked at the typical technology type, how the technology type and frequency have changed in time over each domain, and how papers are grouped across metrics given their similarities. This analysis determined that VR and haptics are the most widely used in all domains. While VR is the most used, haptic interaction is presented in an increasing number of applications, suggesting future work on applications that configure VR and haptic together.

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Section: Dentistrymentioning

confidence: 99%

Systematic Review of Multimodal Human–Computer Interaction

et al. 2022

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“…Noticeably, the consistency between the artificially stimulated sensation and the real sensation to humans is the key to improve the user experience and the value of the feedback information. Therefore, a majority of the feedback research is also focusing on the biomimetic stimulators, include kinesthetic feedback which can reflect the spatial movement of different body parts, and cutaneous feedback which is in charge of performing the tactile and thermal stimulations to various skin's receptors [293][294][295][296].…”

Section: Haptic-feedback Enabled Hmismentioning

confidence: 99%

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Sun

Zhu

Lee

2021

Nanoenergy Advances

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Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable of providing humans with more intuitive interaction with the digitalized world have experienced a flourishing development in the past few years. Although the advanced sensing techniques based on complementary metal-oxide-semiconductor (CMOS) or microelectromechanical system (MEMS) solutions, e.g., camera, microphone, inertial measurement unit (IMU), etc., and flexible solutions, e.g., stretchable conductor, optical fiber, etc., have been widely utilized as sensing components for wearable/non-wearable HMIs development, the relatively high-power consumption of these sensors remains a concern, especially for wearable/portable scenarios. Recent progress on triboelectric nanogenerator (TENG) self-powered sensors provides a new possibility for realizing low-power/self-sustainable HMIs by directly converting biomechanical energies into valuable sensory information. Leveraging the advantages of wide material choices and diversified structural design, TENGs have been successfully developed into various forms of HMIs, including glove, glasses, touchpad, exoskeleton, electronic skin, etc., for sundry applications, e.g., collaborative operation, personal healthcare, robot perception, smart home, etc. With the evolving artificial intelligence (AI) and haptic feedback technologies, more advanced HMIs could be realized towards intelligent and immersive human–machine interactions. Hence, in this review, we systematically introduce the current TENG HMIs in the aspects of different application scenarios, i.e., wearable, robot-related and smart home, and prospective future development enabled by the AI/haptic-feedback technology. Discussion on implementing self-sustainable/zero-power/passive HMIs in this 5G/IoT era and our perspectives are also provided.

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“…In general, wearable actuators (e.g. [15], [16] can display textures, some of them allow even multi-touch exploration; nevertheless, to work properly, they usually require additional devices.…”

Section: Related Work On Force Feedback Haptic Devicesmentioning

confidence: 99%

F2T: A Novel Force-Feedback Haptic Architecture Delivering 2D Data to Visually Impaired People

et al. 2021

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Today's technology still limits the accessing to 2D information (images, graphics, charts, maps, paintings, etc.) for visually impaired people (VIP). The main drawbacks are the complexity of spatial information representation and the high cost of the design for man-machine device democratization. Therefore, we present a novel and inclusive haptic architecture to access and interact with 2D data. This architecture relies on the force-feedback principle, and is named Force-Feedback Tablet (F2T). The F2T's architecture is based on a flat thumbstick mounted on a 2D actuated support, enabling force feedback effects on user's finger. The flat thumbstick allows measuring user's intended movements independently from mobile support's actual movements, making possible to develop highly interactive effects, static and dynamic effects, or guidances. Moreover, the mechanical structure does not need to be backdrivable, which simplifies the motion control, and reduces the costs of the device. Finally, the F2T architecture allows designing lightweight, compact and scalable devices. Such devices can assist VIP in their several daily-life tasks. To validate and demonstrate the relevance of the F2T architecture, we present two lightweight prototypes. We use the shape and spatial layout's recognition to test its effectiveness. The VIP and the blindfolded participants confirmed this effectiveness through a series of preliminary experimental haptic recognition tasks. Results obtained during the evaluation are encouraging with high recognition rates for directions, angles, and shapes. As a result, the F2T proved to convey graphical information through force-feedback.

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Multi-finger surface visuo-haptic rendering using electrostatic stimulation with force-direction sensing gloves

Cited by 9 publications

References 12 publications

Systematic Review of Multimodal Human–Computer Interaction

Systematic Review of Multimodal Human–Computer Interaction

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

F2T: A Novel Force-Feedback Haptic Architecture Delivering 2D Data to Visually Impaired People

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