Optimization-Based Wearable Tactile Rendering

Pérez, Álvaro G.; Lobo, Daniel; Chinello, Francesco; Cirio, Gabriel; Malvezzi, Monica; Martín, José San; Prattichizzo, Domenico; Otaduy, Miguel Á.

doi:10.1109/toh.2016.2619708

Cited by 28 publications

(16 citation statements)

References 39 publications

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“…Second, we could study how to make use of a tracking system directly embedded on the finger modules, e.g., mechanical bend sensors. In addition, we could also envisage to combine our system with tactile rendering devices [17,5,22]. Then, the Flex-iFingers approach should be evaluated through a user study in order to validate the stiffness perception.…”

Section: Resultsmentioning

confidence: 99%

FlexiFingers: Multi-finger interaction in VR combining passive haptics and pseudo-haptics

Achibet

Gouis

Marchal

et al. 2017

2017 IEEE Symposium on 3D User Interfaces (3DUI)

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3D interaction in virtual reality often requires to manipulate and feel virtual objects with our fingers. Although existing haptic interfaces can be used for this purpose (e.g. force-feedback exoskeleton gloves), they are still bulky and expensive. In this paper, we introduce a novel multi-finger device called "FlexiFingers" that constrains each digit individually and produces elastic forcefeedback. FlexiFingers leverages passive haptics in order to offer a lightweight, modular, and affordable alternative to active devices. Moreover, we combine Flexifingers with a pseudo-haptic approach that simulates different levels of stiffness when interacting with virtual objects. We illustrate how this combination of passive haptics and pseudo-haptics can benefit multi-finger interaction through several use cases related to music learning and medical training. Those examples suggest that our approach could find applications in various domains that require an accessible and portable way of providing haptic feedback to the fingers.

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Section: Resultsmentioning

confidence: 99%

FlexiFingers: Multi-finger interaction in VR combining passive haptics and pseudo-haptics

Achibet

Gouis

Marchal

et al. 2017

2017 IEEE Symposium on 3D User Interfaces (3DUI)

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“…Besides the four main clusters discussed so far, there are some papers that have used wearable IoT technology for other applications such as education [93], [94], virtual and augmented reality [95], [96], law enforcement [97], or spying [98]. Since there have not been lots of attention by the research community for these applications, we do not further discuss these use cases.…”

Section: E Othersmentioning

confidence: 99%

Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey

2020

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Smart wearables collect and analyze data, and in some scenarios make a smart decision and provide a response to the user and are finding more and more applications in our daily life. In this paper, we comprehensively survey the most recent and important research works conducted in the area of wearable Internet of Things (IoT) and classify the wearables into four major clusters: (i) health, (ii) sports and daily activity, (iii) tracking and localization, and (iv) safety. The fundamental differences of the algorithms associated within each cluster are grouped and analyzed and the research challenges and open issues in each cluster are discussed. This survey reveals that although Cellular IoT (CIoT) has many advantages and can bring enormous applications to IoT wearables, it has been rarely studied by the researchers. This article also addresses the opportunities and challenges related to implementing CIoT-enabled wearables.INDEX TERMS Smart wearables, Internet of Things, cellular IoT.

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“…Most of the haptic devices are active. They range from Phantoms [Massie et al 1994] and tactile displays [Hayward and Cruz-Hernandez 2000;Perez et al 2017], which apply direct force using motors and actuators, to micro and electro vibrators [Bau et al 2010;Kim et al 2013], which stimulate the perception of friction and shape using local vibrations. For a more in-depth discussion of such devices, we refer to the survey by Chouvardas et al's [2008].…”

Section: Haptic Feedback Reproductionmentioning

confidence: 99%

Fabrication-in-the-loop co-optimization of surfaces and styli for drawing haptics

et al. 2020

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Digital drawing tools are now standard in art and design workflows. These tools offer comfort, portability, and precision as well as native integration with digital-art workflows, software, and tools. At the same time, artists continue to work with long-standing, traditional drawing tools. One feature of traditional tools, well-appreciated by many artists and lacking in digital tools, is the specific and diverse range of haptic responses provided by them. Haptic feedback in traditional drawing tools provides unique, per-tool responses that help determine the precision and character of individual strokes. In this work, we address the problem of fabricating digital drawing tools that closely match the haptic feedback of their traditional counterparts. This requires the formulation and solution of a complex, co-optimization of both digital styli and the drawing surfaces they move upon. Here, a potentially direct formulation of this optimization with numerical simulation-in-the-loop is not yet viable. As in many complex design tasks, state-of-the-art methods do not currently offer predictive modeling at rates and scales that can account for the numerous, coupled, physical behaviors governing the haptics of styli and surfaces, nor for the limitations and uncertainties inherent in their fabrication processes. To address these challenges, we propose fabrication-in-the-loop optimization. Critical to making this strategy practical we construct our objective via a Gaussian Process that does not require computing derivatives with respect to design parameters. Our Gaussian Process surrogate model then provides both function estimates and confidence intervals that guide the efficient sampling of our design space. In turn, this sampling critically reduces the numbers of fabricated examples during exploration and automatically handles exploration-exploitation trade-offs. We apply our method to fabricate drawing tools that provide a wide range of haptic feedback, and demonstrate that they are often hard for users to distinguish from their traditional drawing-tool analogs.

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Optimization-Based Wearable Tactile Rendering

Cited by 28 publications

References 39 publications

FlexiFingers: Multi-finger interaction in VR combining passive haptics and pseudo-haptics

FlexiFingers: Multi-finger interaction in VR combining passive haptics and pseudo-haptics

Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey

Fabrication-in-the-loop co-optimization of surfaces and styli for drawing haptics

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