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Related papers: WristSonic: Enabling Fine-grained Hand-Face Intera…

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Hand-over-face gestures can provide important implicit interactions during conversations, such as frustration or excitement. However, in situations where interlocutors are not visible, such as phone calls or textual communication, the…

Human-Computer Interaction · Computer Science 2024-03-28 Mengxi Liu , Hymalai Bello , Bo Zhou , Paul Lukowicz , Jakob Karolus

Background and Objectives: This paper focuses on using AI to assess the cognitive function of older adults with mild cognitive impairment or mild dementia using physiological data provided by a wearable device. Cognitive screening tools are…

Neurons and Cognition · Quantitative Biology 2025-11-10 Assma Habadi , Milos Zefran , Lijuan Yin , Woojin Song , Maria Caceres , Elise Hu , Naoko Muramatsu

Whisphone is a novel earbud device designed for speech input via whispering. Utilizing canal-type earbuds with a unique microphone placement at the tip of the earplug, it effectively captures whispered voices radiated in the ear canal…

Human-Computer Interaction · Computer Science 2025-01-06 Masaaki Fukumoto

Biosensors and wearable sensor systems with transmitting capabilities are currently developed and used for the monitoring of health data, exercise activities, and other performance data. Unlike conventional approaches, these devices enable…

Human-Computer Interaction · Computer Science 2020-11-12 Birgitta Dresp-Langley

Wearable devices such as AI glasses are transforming voice assistants into always-available, hands-free collaborators that integrate seamlessly with daily life, but they also introduce challenges like egocentric audio affected by motion and…

Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to monitor our physiological signals. In this study, we address the question whether they can help us to recognize our emotions in our everyday life for…

Biometric-based authentication is gaining increasing attention for wearables and mobile applications. Meanwhile, the growing adoption of sensors in wearables also provides opportunities to capture novel wearable biometrics. In this work, we…

Cryptography and Security · Computer Science 2021-08-13 Zi Wang , Jie Yang

Sound is a rich information medium that transmits through air; people communicate through speech and can even discern material through tapping and listening. To capture frequencies in the human hearing range, commercial microphones…

Robotics · Computer Science 2023-07-20 Monica S. Li , Hannah S. Stuart

In this paper, we investigate a potential security vulnerability associated with wrist wearable devices. Hardware components on common wearable devices include an accelerometer and gyroscope, among other sensors. We demonstrate that an…

Cryptography and Security · Computer Science 2020-05-01 Lambert T. Leong , Sean Wiere

Contact-free detection of human vital signs like heart rate and respiration rate will improve the patients' comfort and enables long-term monitoring of newborns or bedridden patients. For that, reliable and safe measurement techniques are…

Medical Physics · Physics 2020-07-28 Roman Kusche , Fabian John , Marco Cimdins , Horst Hellbrueck

Wearable biosensor technology enables real-time, convenient, and continuous monitoring of users behavioral signals. Such include signals relative to body motion, body temperature, biological or biochemical markers, and individual grip…

Reaction time (RT) is a fundamental measure in cognitive and neurophysiological assessment, yet most existing RT systems require active user engagement and controlled environments, limiting their use in real-world settings. This paper…

Quantitative Methods · Quantitative Biology 2026-03-13 Abhigyan Sarkar , Boris Rubinsky

As computing devices become increasingly integrated into daily life, there is a growing need for intuitive, always-available interaction methods, even when users' hands are occupied. In this paper, we introduce Grab-n-Go, the first wearable…

Human-Computer Interaction · Computer Science 2025-08-18 Chi-Jung Lee , Jiaxin Li , Tianhong Catherine Yu , Ruidong Zhang , Vipin Gunda , François Guimbretière , Cheng Zhang

Hand gesture recognition based on biosignals has shown strong potential for developing intuitive human-machine interaction strategies that closely mimic natural human behavior. In particular, sensor fusion approaches have gained attention…

Signal Processing · Electrical Eng. & Systems 2025-10-20 Giusy Spacone , Sebastian Frey , Mattia Orlandi , Pierangelo Maria Rapa , Victor Kartsch , Simone Benatti , Luca Benini , Andrea Cossettini

The goal of this project is to create an inexpensive, lightweight, wearable assistive device that can measure hand or finger movements accurately enough to identify a range of hand gestures. One eventual application is to provide assistive…

Human-Computer Interaction · Computer Science 2020-09-29 Sanjay Seshan

Hand tracking is an important aspect of human-computer interaction and has a wide range of applications in extended reality devices. However, current hand motion capture methods suffer from various limitations. For instance, visual-based…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Qiang Zhang , Yuanqiao Lin , Yubin Lin , Szymon Rusinkiewicz

The growing number of differently-abled and elderly individuals demands affordable, intelligent wheelchairs that combine safe navigation with health monitoring. Traditional wheelchairs lack dynamic features, and many smart alternatives…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Md. Asiful Islam , Abdul Hasib , Tousif Mahmud Emon , Khandaker Tabin Hasan , A. S. M. Ahsanul Sarkar Akib

We present an advance in wearable technology: a mobile-optimized, real-time, ultra-low-power event camera system that enables natural hand gesture control for smart glasses, dramatically improving user experience. While hand gesture…

Smart glasses have become more prevalent as they provide an increasing number of applications for users. They store various types of private information or can access it via connections established with other devices. Therefore, there is a…

Human-Computer Interaction · Computer Science 2024-10-28 Ke Li , Devansh Agarwal , Ruidong Zhang , Vipin Gunda , Tianjun Mo , Saif Mahmud , Boao Chen , François Guimbretière , Cheng Zhang

Recent years have seen interest in device tracking and localization using acoustic signals. State-of-the-art acoustic motion tracking systems however do not achieve millimeter accuracy and require large separation between microphones and…

Human-Computer Interaction · Computer Science 2019-01-23 Anran Wang , Shyamnath Gollakota