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In this paper, mm-Pose, a novel approach to detect and track human skeletons in real-time using an mmWave radar, is proposed. To the best of the authors' knowledge, this is the first method to detect >15 distinct skeletal joints using…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Arindam Sengupta , Feng Jin , Renyuan Zhang , Siyang Cao

The discrimination of human gestures using wearable solutions is extremely important as a supporting technique for assisted living, healthcare of the elderly and neurorehabilitation. This paper presents a mobile electromyography (EMG)…

Computer Vision and Pattern Recognition · Computer Science 2019-10-25 Enea Ceolini , Gemma Taverni , Lyes Khacef , Melika Payvand , Elisa Donati

Airwriting Recognition is the task of identifying letters written in free space with finger movement. Electromyography (EMG) is a technique used to record electrical activity during muscle contraction and relaxation as a result of movement…

Human-Computer Interaction · Computer Science 2022-11-01 Ayush Tripathi , Lalan Kumar , Prathosh A. P. , Suriya Prakash Muthukrishnan

Gait recognition is an emerging biometric technology that enables non-intrusive and hard-to-spoof human identification. However, most existing methods are confined to short-range, unimodal settings and fail to generalize to long-range and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Zhiyang Lu , Wen Jiang , Tianren Wu , Zhichao Wang , Changwang Zhang , Siqi Shen , Ming Cheng

Radio technology enabled contact-free human posture and vital sign estimation is promising for health monitoring. Radio systems at millimeter-wave (mmWave) frequencies advantageously bring large bandwidth, multi-antenna array and beam…

Signal Processing · Electrical Eng. & Systems 2023-03-17 Hadi Alidoustaghdam , Min Chen , Ben Willetts , Kai Mao , André Kokkeler , Yang Miao

Gesture recognition is an indispensable component of natural and efficient human-computer interaction technology, particularly in desktop-level applications, where it can significantly enhance people's productivity. However, the current…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Qi Wang , Fengchao Zhu , Guangming Zhu , Liang Zhang , Ning Li , Eryang Gao

Over the last few decades, Smartphone technology has seen significant improvements. Enhancements specific to built-in Inertial Measurement Units (IMUs) and other dedicated sensors of the smartphones(which are often available as default)…

Signal Processing · Electrical Eng. & Systems 2023-08-24 Yuvaraj Govindarajulu , Raja Rajeshwari Raj Kumar

Millimetre-wave (mmWave) radars can generate 3D point clouds to represent objects in the scene. However, the accuracy and density of the generated point cloud can be lower than a laser sensor. Although researchers have used mmWave radars…

Signal Processing · Electrical Eng. & Systems 2023-02-01 Han Cui , Jiacheng Wu , Naim Dahnoun

The design of intuitive three-dimensional user interfaces is vital for interaction in virtual reality, allowing to effectively close the loop between a human user and the virtual environment. The utilization of 3D gestural input allows for…

Human-Computer Interaction · Computer Science 2024-01-17 Nico Reski , Aris Alissandrakis , Andreas Kerren

Hand gesture is one of the most important means of touchless communication between human and machines. There is a great interest for commanding electronic equipment in surgery rooms by hand gesture for reducing the time of surgery and the…

Computer Vision and Pattern Recognition · Computer Science 2017-10-24 Ebrahim Nasr-Esfahani , Nader Karimi , S. M. Reza Soroushmehr , M. Hossein Jafari , M. Amin Khorsandi , Shadrokh Samavi , Kayvan Najarian

Outdoor virtual reality (VR) places users in dynamic physical environments where they must remain aware of real-world obstacles, including static structures and moving bystanders, while immersed in a virtual scene. This dual demand…

Human-Computer Interaction · Computer Science 2026-02-03 Avinash Ajit Nargund , Andrew L. Huard , Tobias Höllerer , Misha Sra

Traditional vision-based hand gesture recognition systems is limited under dark circumstances. In this paper, we build a hand gesture recognition system based on microwave transceiver and deep learning algorithm. A Doppler radar sensor with…

Machine Learning · Statistics 2017-11-23 Jiajun Zhang , Zhiguo Shi

Based on the DeepSORT algorithm, this study explores the application of visual tracking technology in intelligent human-computer interaction, especially in the field of gesture recognition and tracking. With the rapid development of…

Human-Computer Interaction · Computer Science 2025-05-13 Tong Zhang , Fenghua Shao , Runsheng Zhang , Yifan Zhuang , Liuqingqing Yang

The established way of interfacing with most computer systems is a mouse and keyboard. Hand gestures are an intuitive and effective touchless way to interact with computer systems. However, hand gesture based systems have seen low adoption…

Human-Computer Interaction · Computer Science 2020-10-27 Sriram Krishna , Nishant Sinha

Millimeter wave sensing provides people with the capability of sensing the surrounding crowds in a non-invasive and privacy-preserving manner, which holds huge application potential. However, detecting stationary crowds remains challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Boyan Li , Shengyi Ding , Deen Ma , Yixuan Wu , Hongjie Liao , Kaiyuan Hu

Human identification plays an important role in human-computer interaction. There have been numerous methods proposed for human identification (e.g., face recognition, gait recognition, fingerprint identification, etc.). While these methods…

Human-Computer Interaction · Computer Science 2016-08-12 Tong Xin , Bin Guo , Zhu Wang , Mingyang Li , Zhiwen Yu

Reliable and robust user identification and authentication are important and often necessary requirements for many digital services. It becomes paramount in social virtual reality (VR) to ensure trust, specifically in digital encounters…

Machine Learning · Computer Science 2023-10-27 Christian Schell , Andreas Hotho , Marc Erich Latoschik

Gesture awareness plays a crucial role in promoting human-computer interface. Previous works either depend on customized hardware or need a priori learning of wireless signal patterns, facing downsides in terms of the privacy concern,…

Signal Processing · Electrical Eng. & Systems 2020-11-16 Zijun Han , Zhaoming Lu , Xiangming Wen , Wei Zheng , Jingbo Zhao , Lingchao Guo

Millimeter-wave (mmWave) 5G New Radio (NR) communication systems, with their high-resolution antenna arrays and extensive bandwidth, offer a transformative opportunity for high-throughput data transmission and advanced environmental…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Tao Du , Jie Yang , Fan Liu , Jiaxiang Guo , Shuqiang Xia , Chao-Kai Wen , Shi Jin

We present results of two pilot studies that investigated human error behaviours with an error prone in-air gesture recognizer. During the studies, users performed a small set of simple in-air gestures. In the first study, these gestures…

Human-Computer Interaction · Computer Science 2021-05-27 Ahmed Sabbir Arif , Wolfgang Stuerzlinger , Euclides Jose de Mendonca Filho , Alec Gordynski
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