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Related papers: Advanced Millimeter-Wave Radar System for Real-Tim…

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This study explores a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology. The goal is to develop a non-contact sensing, privacy-preserving, and all-day operational method for healthcare…

Signal Processing · Electrical Eng. & Systems 2024-12-02 Shuting Hu , Peggy Ackun , Xiang Zhang , Siyang Cao , Jennifer Barton , Melvin G. Hector , Mindy J. Fain , Nima Toosizadeh

Multi-beam radar sensing systems are emerging as powerful tools for non-contact motion tracking and vital-sign monitoring in healthcare environments. This paper presents the design and experimental validation of a synchronized…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Mohammad Omid Bagheri , Justin Chow , Josh Visser , Veronica Leong , George Shaker

Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern where timely detection can greatly minimize harm. With the advancements in radio frequency technology, radar has emerged as a…

Robotics · Computer Science 2024-02-07 Shuting Hu , Siyang Cao , Nima Toosizadeh , Jennifer Barton , Melvin G. Hector , Mindy J. Fain

Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have integrated such capabilities. Industry-grade MMW radars are…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Maloy Kumar Devnath , Avijoy Chakma , Mohammad Saeid Anwar , Emon Dey , Zahid Hasan , Marc Conn , Biplab Pal , Nirmalya Roy

mmWave radars have recently gathered significant attention as a means to track human movement within indoor environments. Widely adopted Kalman filter tracking methods experience performance degradation when the underlying movement is…

Signal Processing · Electrical Eng. & Systems 2022-05-09 Jacopo Pegoraro , Michele Rossi

The ageing society brings attention to daily elderly care through sensing technologies. The future smart home is expected to enable in-home daily monitoring, such as fall detection, for seniors in a non-invasive, non-cooperative, and…

Signal Processing · Electrical Eng. & Systems 2023-11-16 Xuyao Yu , Jiazhao Wang , Wenchao Jiang

This paper introduces MMW-Carry, a system designed to predict the probability of individuals carrying various objects using millimeter-wave radar signals, complemented by camera input. The primary goal of MMW-Carry is to provide a rapid and…

Signal Processing · Electrical Eng. & Systems 2024-02-27 Xiangyu Gao , Youchen Luo , Ali Alansari , Yaping Sun

Mm-wave radars have recently gathered significant attention as a means to track human movement and identify subjects from their gait characteristics. A widely adopted method to perform the identification is the extraction of the…

Signal Processing · Electrical Eng. & Systems 2021-05-25 Jacopo Pegoraro , Michele Rossi

The aging population is growing rapidly, and so is the danger of falls in older adults. A major cause of injury is falling, and detection in time can greatly save medical expenses and recovery time. However, to provide timely intervention…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Seyed Alireza Rahimi Azghadi , Truong-Thanh-Hung Nguyen , Helene Fournier , Monica Wachowicz , Rene Richard , Francis Palma , Hung Cao

Continuous detection of human activities and presence is essential for developing a pervasive interactive smart space. Existing literature lacks robust wireless sensing mechanisms capable of continuously monitoring multiple users'…

Human-Computer Interaction · Computer Science 2023-09-22 Argha Sen , Anirban Das , Swadhin Pradhan , Sandip Chakraborty

In this paper we propose mmFall - a novel fall detection system, which comprises of (i) the emerging millimeter-wave (mmWave) radar sensor to collect the human body's point cloud along with the body centroid, and (ii) a variational…

Machine Learning · Computer Science 2020-07-29 Feng Jin , Arindam Sengupta , Siyang Cao

This study proposes a sensing method using a millimeter-wave array radar and a depth camera to measure pulse waves at multiple sites on the human body. Using a three-dimensional shape model of the target human body measured by the depth…

Signal Processing · Electrical Eng. & Systems 2024-05-20 Takehito Koshisaka , Takuya Sakamoto

Human motion sensing plays a crucial role in smart systems for decision-making, user interaction, and personalized services. Extensive research that has been conducted is predominantly based on cameras, whose intrusive nature limits their…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Fangqiang Ding , Zhen Luo , Peijun Zhao , Chris Xiaoxuan Lu

Millimeter-wave radar systems are one of the core components of the safety-critical Advanced Driver Assistant System (ADAS) of a modern vehicle. Due to their ability to operate efficiently despite bad weather conditions and poor visibility,…

Cryptography and Security · Computer Science 2022-05-16 Mihai Ordean , Flavio D. Garcia

Falls have become more frequent in recent years, which has been harmful for senior citizens.Therefore detecting falls have become important and several data sets and machine learning model have been introduced related to fall detection. In…

Computer Vision and Pattern Recognition · Computer Science 2023-02-02 Xi Wang , Ramya Penta , Bhavya Sehgal , Dale Chen-Song

Millimetre-wave (mmWave) radar has emerged as an attractive and cost-effective alternative for human activity sensing compared to traditional camera-based systems. mmWave radars are also non-intrusive, providing better protection for user…

Machine Learning · Computer Science 2023-11-03 Han Cui , Shu Zhong , Jiacheng Wu , Zichao Shen , Naim Dahnoun , Yiren Zhao

Millimeter wave (mmWave) radar sensors are emerging as valid alternatives to cameras for the pervasive contactless monitoring of people in indoor spaces. However, commercial mmWave radars feature a limited range (up to $6$-$8$ m) and are…

Systems and Control · Electrical Eng. & Systems 2023-05-01 Marco Canil , Jacopo Pegoraro , Anish Shastri , Paolo Casari , Michele Rossi

Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower the chances of survival for the elderly, especially if living alone. Hence, the need is there for developing fall…

Networking and Internet Architecture · Computer Science 2021-05-21 Ayman Al-Kababji , Abbes Amira , Faycal Bensaali , Abdulah Jarouf , Lisan Shidqi , Hamza Djelouat

Falls are one of the leading cause of injury-related deaths among the elderly worldwide. Effective detection of falls can reduce the risk of complications and injuries. Fall detection can be performed using wearable devices or ambient…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Stefan Denkovski , Shehroz S. Khan , Brandon Malamis , Sae Young Moon , Bing Ye , Alex Mihailidis

Millimeter wave (mmWave) radar is a non-intrusive privacy and relatively convenient and inexpensive device, which has been demonstrated to be applicable in place of RGB cameras in human indoor pose estimation tasks. However, mmWave radar…

Computer Vision and Pattern Recognition · Computer Science 2025-08-14 Bing Zhu , Zixin He , Weiyi Xiong , Guanhua Ding , Tao Huang , Wei Xiang
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