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Related papers: Environment-independent mmWave Fall Detection with…

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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 explored an indoor system for tracking multiple humans and detecting falls, employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables and camera methods, Millimeter-Wave radar is not plagued by mobility…

Signal Processing · Electrical Eng. & Systems 2024-06-10 Zichao Shen , Jose Nunez-Yanez , Naim Dahnoun

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

Falls in wet bathroom environments are a major safety risk for seniors living alone. Recent work has shown that mmWave-only, vibration-only, and existing multimodal schemes, such as vibration-triggered radar activation, early feature…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Haitian Wang , Yiren Wang , Xinyu Wang , Sheldon Fung , Atif Mansoor

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

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

Fall detection is critical to support the growing elderly population, projected to reach 2.1 billion by 2050. However, existing methods often face data scarcity challenges or compromise privacy. We propose a novel IoT-based Fall Detection…

Signal Processing · Electrical Eng. & Systems 2025-07-01 Abdallah Lakhdari , Jiajie Li , Amani Abusafia , Athman Bouguettaya

Positional estimation is of great importance in the public safety sector. Emergency responders such as fire fighters, medical rescue teams, and the police will all benefit from a resilient positioning system to deliver safe and effective…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Zhuangzhuang Dai , Muhamad Risqi U. Saputra , Chris Xiaoxuan Lu , Niki Trigoni , Andrew Markham

In smart cities, detecting pedestrian falls is a major challenge to ensure the safety and quality of life of citizens. In this study, we propose a novel fall detection system using FLAMe (Federated Learning with Attention Mechanism), a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Byeonghun Kim , Byeongjoon Noh

This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments. In these settings, line-of-sight (LoS) connections are easily interrupted by…

Networking and Internet Architecture · Computer Science 2023-07-14 Mohammad Al-Quraan , Ahmed Zoha , Anthony Centeno , Haythem Bany Salameh , Sami Muhaidat , Muhammad Ali Imran , Lina Mohjazi

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

Falls, highly common in the constantly increasing global aging population, can have a variety of negative effects on their health, well-being, and quality of life, including restricting their capabilities to conduct Activities of Daily…

Human-Computer Interaction · Computer Science 2022-07-26 Nirmalya Thakur , Chia Y. Han

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

By 2050, people aged 65 and over are projected to make up 16 percent of the global population. As aging is closely associated with increased fall risk, particularly in wet and confined environments such as bathrooms where over 80 percent of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Haitian Wang , Yiren Wang , Xinyu Wang , Yumeng Miao , Yuliang Zhang , Yu Zhang , Atif Mansoor

As the population ages rapidly, long-term care (LTC) facilities across North America face growing pressure to monitor residents safely while keeping staff workload manageable. Falls are among the most critical events to monitor due to their…

Signal Processing · Electrical Eng. & Systems 2026-01-27 Huy Trinh , Phuong Thai , Elliot Creager , George Shaker

Objects falling from buildings, a frequently occurring event in daily life, can cause severe injuries to pedestrians due to the high impact force they exert. Surveillance cameras are often installed around buildings to detect falling…

Computer Vision and Pattern Recognition · Computer Science 2025-09-08 Zhigang Tu , Zhengbo Zhang , Zitao Gao , Chunluan Zhou , Junsong Yuan , Bo Du

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

Falls are the public health issue for the elderly all over the world since the fall-induced injuries are associated with a large amount of healthcare cost. Falls can cause serious injuries, even leading to death if the elderly suffers a…

Machine Learning · Computer Science 2023-04-14 Chien-Pin Liu , Ju-Hsuan Li , En-Ping Chu , Chia-Yeh Hsieh , Kai-Chun Liu , Chia-Tai Chan , Yu Tsao

In recent years a growing interest on action recognition is observed, including detection of fall accident for the elderly. However, despite many efforts undertaken, the existing technology is not widely used by elderly, mainly because of…

Computer Vision and Pattern Recognition · Computer Science 2017-06-27 Michal Kepski

The commercial availability of low-cost millimeter wave (mmWave) communication and radar devices is starting to improve the penetration of such technologies in consumer markets, paving the way for large-scale and dense deployments in…

Networking and Internet Architecture · Computer Science 2022-05-26 Anish Shastri , Neharika Valecha , Enver Bashirov , Harsh Tataria , Michael Lentmaier , Fredrik Tufvesson , Michele Rossi , Paolo Casari
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