Muscleblazer: Force-Feedback Suit for Immersive Experience

Kishishita, Yusuke; Das, Swagata; Ramirez, Antonio Vega; Thakur, Chetan; Tadayon, Ramin; Kurita, Yuichi

doi:10.1109/vr.2019.8797962

Cited by 14 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Haptic feedback is relatively easy to implement integrated to athletic gear for example as smart insoles [118,212,368], embedded in smart compressive garment [235,598] (see gure 7B), in generic clothing [418,928], or attached around limbs [827,929] [879] and in snatch [880]. Elvitigala et al [212] showed how it is possible to eectively communicate athlete's centre of pressure changes during squat and deadlifts via haptic insoles and visual aids.…”

Section: B Real-time Feedback Methodsmentioning

confidence: 99%

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Teikari¹,

Pietrusz²

2021

Preprint

View full text Add to dashboard Cite

In strength training, personalised strength training (autoregulation) approaches have been used to individualise exercise programs with monitoring an for dynamic adjustment based on their responses to training. While this transition from tradition-based training to evidence-based training framework has been an improvement in training practices, we argue that the future of strength training will also incorporate deep learning models powered by data. We refer to this data-driven framework as precision strength training inspired by the similar modeling frameworks used in precision medicine. In contrast to current personalised training in which the acquired athlete data is often subject to human expert decision-making, we are anticipating the rise of human-in-the-loop systems with an augmented coach who will be doing decisions collaboratively with the machine. Similar to other precision frameworks, such as precision health, we envision such a future to take decades to be realised and we focus here on practical short-term targets on a way to long-term realisation. In this chapter, we will review the measurement technology needed for continuous data acquisition from an individual during training/physical activity, how to acquire these datasets for the development of such systems and, how a proof-of-concept system could be developed for powerlifting training with applicability to general strength and conditioning (S&C) and physical rehabilitation purposes. Additionally, we will evaluate how the user experience (UX) of the system feedback and visualisation could be designed.

show abstract

Section: B Real-time Feedback Methodsmentioning

confidence: 99%

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Teikari¹,

Pietrusz²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…For kinesthetic haptic feedback, pneumatic [ 96,97 ] and hydraulic [ 98,99 ] type actuators are actively applied due to their performance, such as large strain and large volume change via the movement of fluid within a cavity. [ 20 ] Generally, they can generate large displacements even in centimeter‐scale and forces of several hundreds of newtons that are difficult to be achieved by electrostatic, electromagnetic, and piezoelectric actuators.…”

Section: Emerging Active Material‐based Tactile Sensing and Feedback Devicesmentioning

confidence: 99%

Section: Wearable Haptic Interfacesmentioning

confidence: 99%

See 1 more Smart Citation

Recent Advances and Opportunities of Active Materials for Haptic Technologies in Virtual and Augmented Reality

Yang

Kim

Jin

et al. 2021

Adv Funct Materials

View full text Add to dashboard Cite

Virtual reality and augmented reality (VR/AR) are evolving. The market demands and innovation efforts call for a shift in the key VR/AR technologies and engaging people virtually. Tele‐haptics with multimodal and bilateral interactions are emerging as the future of the VR/AR industry. By transmitting and receiving haptic sensations wirelessly, tele‐haptics allow human‐to‐human interactions beyond the traditional VR/AR interactions. The core technologies for tele‐haptics include multimodal tactile sensing and feedback based on highly advanced sensors and actuators. Recent developments of haptic innovations based on active materials show that active materials can significantly contribute to addressing the needs and challenges for the current and future VR/AR technologies. Thus, this paper intends to review the current status and opportunities of active material‐based haptic technology with a focus on VR/AR applications. It first provides an overview of the current VR/AR applications of active materials for haptic sensing and actuation. It then highlights the state‐of‐the‐art haptic interfaces that are relevant to the materials with an aim to provide perspectives on the role of active materials and their potential integration in haptic devices. This paper concludes with the perspective and outlook of immersive multimodal tele‐haptic interaction technologies.

show abstract

“…To encourage people to have active lifestyle, researchers and developers in Human Computer Interaction (HCI) have developed a lot of VR exergames (Alce et al, 2019;Born et al, 2019;Campbell & Fraser, 2019b, 2019aCao et al, 2020;Cho & Park, 2020;Ijaz et al, 2020;Kishishita et al, 2019;Kojic et al, 2019;Li et al, 2019;Liu et al, 2020;Michael & Lutteroth, 2020;Narejo et al, 2020;Perrin et al, 2019;Ščiglinskas et al, 2019;She et al, 2020;Varela-Aldás et al, 2020;Wirth et al, 2020b;Xu, Ma, et al, 2020). Exergames is one of the ways to encourage people to exercise as the physical exercises was gamified with the game mechanics in VR systems (N. Nor et al, 2020a; N. N. Nor et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

Representation of Young Malay Muslim Optimism in Hoore! Hoore! (2012) and Adiwiraku (2017)

Sunar¹,

Bahrin²,

Nor³

et al. 2022

jcisc

View full text Add to dashboard Cite

Nowadays, people are busy with gadgets, social media and playing video games that tends their bodies to physically inactive. However, Virtual Reality (VR) exergaming in literature has proven to be one of the best solutions to encourage these sedentary people to live in a healthier lifestyle. Exergaming refers to a combination of video games with a physical exercise that rely on the technology that can track body movement. Hence, this project aims to develop a cycling exergame that integrate with HTC Vive hand controller in VR. There are four phases have been carried out namely (i) problem investigation, (ii) designing the game structure, (iii) implementation of VR cycling exergame, and (iv) testing and evaluation. The usability testing results shows the users feedback on the development of VR Exergame for cycling in terms of the user interface design, player interaction, difficulty of the game and user satisfaction in understanding the game. The user acceptance testing results shows that this game works accordingly, however there are some suggestion and expectation from user that can be measured for improvement and enhancement in future works. Based on the result, this project is successfully produced a cycling exergame in VR and significantly improve the user experience in VR.

show abstract

Muscleblazer: Force-Feedback Suit for Immersive Experience

Cited by 14 publications

References 7 publications

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Recent Advances and Opportunities of Active Materials for Haptic Technologies in Virtual and Augmented Reality

Representation of Young Malay Muslim Optimism in Hoore! Hoore! (2012) and Adiwiraku (2017)

Contact Info

Product

Resources

About