m+Medelevator.RU
← Поиск публикаций
Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026

A Multimodal Haptic Feedback Interface with Thin-Film Compliant Mechanism.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Wan Jingjing, Nicotra Emanuele, Davies James, Zhu Kefan, Nguyen Quang Anh, Zhao Sinuo, Nguyen Chi Cong, Sharma Bibhu, Ji Adrienne, Truong Hermione, Pruscino Patrick, Huynh Tan, Phan Phuoc Thien, Phan Hoang-Phuong, Lovell Nigel Hamilton, Do Thanh Nho

Аннотация

Multimodal cutaneous haptic interfaces can deliver multiple forms of mechanical stimulation and trigger different mechanoreceptors, enabling richer haptic information and realistic tactile sensations. Such interfaces have broad potential in healthcare, entertainment, and education. Electromagnetic (EM) actuators are particularly attractive for multimodal haptic systems due to their compact size, high controllability, and fast dynamic response. However, existing EM-based multimodal haptic devices struggle to simultaneously achieve large displacement, high output force, and effective constraint of unwanted degrees of freedom. To address this research gap, this paper presents a new thin-film compliant mechanism that exhibits high flexibility in translational motion along the X, Y, and Z axes while maintaining high stiffness against rotations about the X and Y axes. The new design enables the development of an electromagnetic multimodal haptic module capable of delivering indentation, stretch, and vibration stimuli, with the ability to superimpose vibration onto skin stretch. By integrating such two haptic modules into a wearable haptic array and employing a spatiotemporal encoding strategy, four-directional haptic cues can be effectively conveyed on hairy forearm skin, achieving a mean discrimination accuracy of 79.5%. Finally, a vision-guided human-in-the-loop haptic assistance system is implemented to demonstrate feasibility in assisting visually impaired users with daily tasks.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты