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Grip force is commonly used as an overall health indicator in older adults and is valuable for tracking progress in physical training and rehabilitation. Existing methods for wearable grip force measurement are cumbersome and…

Human-Computer Interaction · Computer Science 2025-07-29 Kian Mahmoodi , Yudong Xie , Tan Gemicioglu , Chi-Jung Lee , Jiwan Kim , Cheng Zhang

Capacitive sensing is a prominent technology that is cost-effective and low power consuming with fast recognition speed compared to existing sensing systems. On account of these advantages, Capacitive sensing has been widely studied and…

Human-Computer Interaction · Computer Science 2022-01-06 Hunmin Lee , Jaya Krishna Mandivarapu , Nahom Ogbazghi , Yingshu Li

Object manipulation is fundamental to virtual reality (VR) applications, yet conventional fingertip haptic devices fail to render certain tactile features relevant for immersive and precise interactions, as i.e. detection of edges. This…

Robotics · Computer Science 2026-04-02 Rui Chen , Xianlong Mai , Alireza Sanaei , Domenico Chiaradia , Antonio Frisoli , Daniele Leonardis

Human action recognition is used in many applications such as video surveillance, human computer interaction, assistive living, and gaming. Many papers have appeared in the literature showing that the fusion of vision and inertial sensing…

Human-Computer Interaction · Computer Science 2020-08-04 Sharmin Majumder , Nasser Kehtarnavaz

LinkGlide-S is a novel wearable hand-worn tactile display to deliver multi-contact and multi-modal stimuli at the user's palm.} The array of inverted five-bar linkages generates three independent contact points to cover the whole palm area.…

Human-Computer Interaction · Computer Science 2022-08-31 Miguel Altamirano Cabrera , Jonathan Tirado , Juan Heredia , Dzmitry Tsetserukou

When a toddler is presented a new toy, their instinctual behaviour is to pick it upand inspect it with their hand and eyes in tandem, clearly searching over its surface to properly understand what they are playing with. At any instance…

Computer Vision and Pattern Recognition · Computer Science 2020-11-04 Edward J. Smith , Roberto Calandra , Adriana Romero , Georgia Gkioxari , David Meger , Jitendra Malik , Michal Drozdzal

Robots can better interact with humans and unstructured environments through touch sensing. However, most commercial robots are not equipped with tactile skins, making it challenging to achieve even basic touch-sensing functions, such as…

Robotics · Computer Science 2025-07-11 Wanjia Fu , Hongyu Li , Ivy X. He , Stefanie Tellex , Srinath Sridhar

Manufacturing industries strive to improve production efficiency and product quality by deploying advanced sensing and control systems. Wearable sensors are emerging as a promising solution for achieving this goal, as they can provide…

Tactile sensing is critical to fine-grained, contact-rich manipulation tasks, such as insertion and assembly. Prior research has shown the possibility of learning tactile-guided policy from teleoperated demonstration data. However, to…

Robotics · Computer Science 2025-02-07 Kelin Yu , Yunhai Han , Qixian Wang , Vaibhav Saxena , Danfei Xu , Ye Zhao

Collaborative visual perception methods have gained widespread attention in the autonomous driving community in recent years due to their ability to address sensor limitation problems. However, the absence of explicit depth information…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Shaohong Wang , Bin Lu , Xinyu Xiao , Hanzhi Zhong , Bowen Pang , Tong Wang , Zhiyu Xiang , Hangguan Shan , Eryun Liu

Multimodal tactile sensing could potentially enable robots to improve their performance at manipulation tasks by rapidly discriminating between task-relevant objects. Data-driven approaches to this tactile perception problem show promise,…

Robotics · Computer Science 2015-11-13 Joshua Wade , Tapomayukh Bhattacharjee , Charles C. Kemp

Displaying tactile feedback through a touchscreen via electrovibration has many potential applications in mobile devices, consumer electronics, home appliances, and automotive industry though our knowledge and understanding on the…

Human-Computer Interaction · Computer Science 2021-04-05 Omer Sirin , Allan Barrea , Philippe Lefèvre , Jean-Louis Thonnard , Cagatay Basdogan

This paper presents TouchAuth, a new touch-to-access device authentication approach using induced body electric potentials (iBEPs) caused by the indoor ambient electric field that is mainly emitted from the building's electrical cabling.…

Human-Computer Interaction · Computer Science 2019-02-20 Zhenyu Yan , Qun Song , Rui Tan , Yang Li , Adams Wai Kin Kong

This survey paper concerns Sensor Fusion for Predictive Control of Human-Prosthesis-Environment Dynamics in Assistive Walking. The powered lower limb prosthesis can imitate the human limb motion and help amputees to recover the walking…

Robotics · Computer Science 2019-03-25 Kuangen Zhang , Clarence W. de Silva , Chenglong Fu

We propose a novel hands-free control framework for the Boston Dynamics Spot robot using the Microsoft HoloLens 2 mixed-reality headset. Enabling accessible robot control is critical for allowing individuals with physical disabilities to…

This paper presents a control interface to translate the residual body motions of individuals living with severe disabilities, into control commands for body-machine interaction. A custom, wireless, wearable multi-sensor network is used to…

While tremendous advances in visual and auditory realism have been made for virtual and augmented reality (VR/AR), introducing a plausible sense of physicality into the virtual world remains challenging. Closing the gap between real-world…

Human-Computer Interaction · Computer Science 2022-10-05 Yunxiang Zhang , Benjamin Liang , Boyuan Chen , Paul Torrens , S. Farokh Atashzar , Dahua Lin , Qi Sun

Interaction in virtual reality (VR) environments is essential to achieve a pleasant and immersive experience. Most of the currently existing VR applications, lack of robust object grasping and manipulation, which are the cornerstone of…

Wearable e-textile interfaces require gesture recognition capabilities but face severe constraints in power consumption, computational capacity, and form factor that make traditional deep learning impractical. While lightweight…

Machine Learning · Computer Science 2026-02-16 Daniel Schwartz , Dario Salvucci , Yusuf Osmanlioglu , Richard Vallett , Genevieve Dion , Ali Shokoufandeh

The ability to detect touch events on uninstrumented, everyday surfaces has been a long-standing goal for mixed reality systems. Prior work has shown that virtual interfaces bound to physical surfaces offer performance and ergonomic…

Human-Computer Interaction · Computer Science 2025-09-04 Vimal Mollyn , Nathan DeVrio , Chris Harrison
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