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The growing trend of using wearable devices for context-aware computing and pervasive sensing systems has raised its potentials for quick and reliable authentication techniques. Since personal writing habitats differ from each other, it is…

Human-Computer Interaction · Computer Science 2017-10-24 Qi Lyu , Zhifeng Kong , Chao Shen , Tianwei Yue

Wrist-wearables such as smartwatches and fitness bands are equipped with a variety of high-precision sensors that support novel contextual and activity-based applications. The presence of a diverse set of on-board sensors, however, also…

Cryptography and Security · Computer Science 2018-09-28 Anindya Maiti , Ryan Heard , Mohd Sabra , Murtuza Jadliwala

Intelligent wearable technology plays an increasingly important role in human-computer interaction, motion, and health monitoring. To ensure comfort and practicality of use, one common form for motion monitoring is to utilize soft wearable…

Robotics · Computer Science 2026-05-29 Shuo Wang , Xiaobin Chen , Xiaoming Tao

This paper explores the development of a control and sensor strategy for an industrial wearable wrist exoskeleton by classifying and predicting workers' actions. The study evaluates the correlation between exerted force and effort…

Signal Processing · Electrical Eng. & Systems 2025-06-02 Roberto F. Pitzalis , Nicholas Cartocci , Christian Di Natali , Darwin G. Caldwell , Giovanni Berselli , Jesús Ortiz

Step-counting has been widely implemented in wrist-worn devices and is accepted by end users as a quantitative indicator of everyday exercise. However, existing counting approach (mostly on wrist-worn setup) lacks robustness and thus…

Signal Processing · Electrical Eng. & Systems 2024-07-09 Sizhen Bian , Rakita Strahinja , Philipp Schilk , Clénin Marc-André , Silvano Cortesi , Elio Reinschmidt , Kanika Dheman , Michele Magno

Human activity recognition based on wearable sensor data has been an attractive research topic due to its application in areas such as healthcare and smart environments. In this context, many works have presented remarkable results using…

Computer Vision and Pattern Recognition · Computer Science 2019-02-04 Artur Jordao , Antonio C. Nazare , Jessica Sena , William Robson Schwartz

Study Objectives: Wrist accelerometry is widely used for inferring sleep-wake state. Previous works demonstrated poor wake detection, without cross-device generalizability and validation in different age range and sleep disorders. We…

Quantitative Methods · Quantitative Biology 2025-12-02 Nasim Montazeri , Stone Yang , Dominik Luszczynski , John Zhang , Dharmendra Gurve , Andrew Centen , Maged Goubran , Andrew Lim

This paper describes a study to test the accuracy of a method that tracks wrist motion during eating to detect and count bites. The purpose was to assess its accuracy across demographic (age, gender, ethnicity) and bite (utensil, container,…

Signal Processing · Electrical Eng. & Systems 2018-06-15 Yiru Shen , James Salley , Eric Muth , Adam Hoover

Quantifying step abundance via single wrist-worn accelerometers is a common approach for encouraging active lifestyle and tracking disease status. Nonetheless, step counting accuracy can be hampered by fluctuations in walking pace or…

Signal Processing · Electrical Eng. & Systems 2017-11-21 Zeev Waks , Itzik Mazeh , Chen Admati , Michal Afek , Yonatan Dolan , Avishai Wagner

With wearable devices such as smartwatches on the rise in the consumer electronics market, securing these wearables is vital. However, the current security mechanisms only focus on validating the user not the device itself. Indeed,…

Cryptography and Security · Computer Science 2025-04-15 Hidayet Aksu , A. Selcuk Uluagac , Elizabeth S. Bentley

Wearable technologies are today on the rise, becoming more common and broadly available to mainstream users. In fact, wristband and armband devices such as smartwatches and fitness trackers already took an important place in the consumer…

Cryptography and Security · Computer Science 2015-12-18 Tony Beltramelli , Sebastian Risi

This article describes an approach to detect the wearing location of smart devices worn by pedestrians and cyclists. The detection, which is based solely on the sensors of the smart devices, is important context-information which can be…

Human-Computer Interaction · Computer Science 2018-03-07 Maarten Bieshaar

Distracted pedestrians, like distracted drivers, are an increasingly dangerous threat and precursors to pedestrian accidents in urban communities, often resulting in grave injuries and fatalities. Mitigating such hazards to pedestrian…

Human-Computer Interaction · Computer Science 2018-11-13 Nisha Vinayaga-Sureshkanth , Anindya Maiti , Murtuza Jadliwala , Kirsten Crager , Jibo He , Heena Rathore

Human computer interaction facilitates intelligent communication between humans and computers, in which gesture recognition plays a prominent role. This paper proposes a machine learning system to identify dynamic gestures using tri-axial…

Human-Computer Interaction · Computer Science 2018-09-19 Gautham Krishna G , Karthik Subramanian Nathan , Yogesh Kumar B , Ankith A Prabhu , Ajay Kannan , Vineeth Vijayaraghavan

Recent trend of touch-screen devices produces an accessibility barrier for visually impaired people. On the other hand, these devices come with sensors such as accelerometer. This calls for new approaches to human computer interface (HCI).…

Human-Computer Interaction · Computer Science 2016-04-27 Dogukan Erenel , Haluk O. Bingol

Every year we grow more dependent on wearable devices to gather personalized data, such as our movements, heart rate, respiration, etc. To capture this data, devices contain sensors, such as accelerometers and gyroscopes, that are able to…

Human-Computer Interaction · Computer Science 2022-07-08 Carlos Alvarado , Ghulam Jilani Quadri , Jennifer Adorno Nieves , Paul Rosen

Wearable devices are increasingly used, thanks to the wide set of applications that can be deployed exploiting their ability to monitor physical activity and health-related parameters. Their usage has been recently proposed to perform…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Emanuele Maiorana , Chiara Romano , Emiliano Schena , Carlo Massaroni

Wearable computing is one of the fastest growing technologies today. Smart watches are poised to take over at least of half the wearable devices market in the near future. Smart watch screen size, however, is a limiting factor for growth,…

Computer Vision and Pattern Recognition · Computer Science 2017-05-09 Seyed A Sajjadi , Danial Moazen , Ani Nahapetian

In recent years, there have been a surge in ubiquitous technologies such as smartwatches and fitness trackers that can track the human physical activities effortlessly. These devices have enabled common citizens to track their physical…

Signal Processing · Electrical Eng. & Systems 2021-12-02 Venkata Devesh Reddy Seethi , Pratool Bharti

Online fraud often involves identity theft. Since most security measures are weak or can be spoofed, we investigate a more nuanced and less explored avenue: behavioral biometrics via handwriting movements. This kind of data can be used to…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Luis A. Leiva , Moises Diaz , Miguel A. Ferrer , Réjean Plamondon
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