ManDri: A New Proposal of Manus VR Facility Integration in Everyday Car Driving

Balzano, Walter; Minieri, Maurizio; Stranieri, Silvia

doi:10.1007/978-3-030-15035-8_84

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Smart hand wearables often feature a structure involving strings or rigid links attached to the fingers, known as exoskeleton types, 7 that lack flexibility. Even with the utilization of elastic fabrics, the inclusion of sensors, actuators, wires, and other components 8,9 can significantly reduce flexibility. Therefore, the fit of smart hand wearables cannot heavily rely on material elasticity, and fit degradation issues cannot be completely eliminated regardless of the materials used.…”

Section: Introductionmentioning

confidence: 99%

Development of a hand classification system for smart hand wearables

Hong

Kim

Choi

2023

Journal of Industrial Textiles

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Research purpose: This study aimed to lay a research foundation for smart hand wearable design by classifying the right-hand data of 4545 adults aged 20 to 69. Further, to increase the practical applicability of the hand classification system, a hand type discrimination method and regression equations for the hand dimensions of each type were presented. Methods: This study statistically analyzed eighth Size Korea data with IBM SPSS Ver.26.0. Cluster analysis was performed to classify both finger length and circumference type. Discriminant analysis was conducted, yielding discriminant functions to aid potential smart hand wearable wearers in self-diagnosing their hand types. Linear regression analysis yielded regression equations for the detailed finger dimensions for the pattern-making of smart hand wearables. Results: The finger length type was categorized into four types: the Uphill type, Downhill type, Mountain type, and Horizon type for both men’s and women’s hands. The finger circumference type was categorized into two types, the Cone and Cylinder types, for both men’s and women’s hands. The discriminant function showed a mean accuracy rate of 89.9% and the regression equations a mean explanatory power of 72.9%. Conclusion: The hand classification system proposed in this study aimed to improve the fingertip fit of smart hand wearable products by analyzing the configuration of motion tracking gloves or haptic gloves. In addition, considering the practical applicability for both wearers and designers of smart hand wearables, a discrimination method of finger types for wearers’ self-diagnosis and regression functions of finger dimensions for designers’ pattern making were provided.

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Section: Introductionmentioning

confidence: 99%

Development of a hand classification system for smart hand wearables

Hong

Kim

Choi

2023

Journal of Industrial Textiles

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Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves

Finocchiaro,

Monteleone,

Russo

et al. 2024

2024 13th Mediterranean Conference on Embedded Computing (MECO)

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A Systematic Review of Commercial Smart Gloves: Current Status and Applications

Caeiro-Rodríguez

Otero-González

Mikic-Fonte

et al. 2021

Sensors

105

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Smart gloves have been under development during the last 40 years to support human-computer interaction based on hand and finger movement. Despite the many devoted efforts and the multiple advances in related areas, these devices have not become mainstream yet. Nevertheless, during recent years, new devices with improved features have appeared, being used for research purposes too. This paper provides a review of current commercial smart gloves focusing on three main capabilities: (i) hand and finger pose estimation and motion tracking, (ii) kinesthetic feedback, and (iii) tactile feedback. For the first capability, a detailed reference model of the hand and finger basic movements (known as degrees of freedom) is proposed. Based on the PRISMA guidelines for systematic reviews for the period 2015–2021, 24 commercial smart gloves have been identified, while many others have been discarded because they did not meet the inclusion criteria: currently active commercial and fully portable smart gloves providing some of the three main capabilities for the whole hand. The paper reviews the technologies involved, main applications and it discusses about the current state of development. Reference models to support end users and researchers comparing and selecting the most appropriate devices are identified as a key need.

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ManDri: A New Proposal of Manus VR Facility Integration in Everyday Car Driving

Cited by 3 publications

References 28 publications

Development of a hand classification system for smart hand wearables

Development of a hand classification system for smart hand wearables

Lessons Learned on the Design of Cost-Effective and Highly Compatible Smart Gloves

A Systematic Review of Commercial Smart Gloves: Current Status and Applications

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