AI-Based Fall Detection Using Contactless Sensing by Taha, Ahmad, Taha, Mohammad M.A., Barakat, Basel, Taylor, William, Abbasi, Qammer H., Ali Imran, Muhammad

“…% extensive protracting injuries. This paper presents a high accuracy contactless falls detection framework based on channel state information extracted from software-defined radios…”

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Radar-based elderly fall detection using SPWVD and ResNet Network by P. J., Swarubini, Ganapathy, Nagarajan

“… Conventional fall detection methods, including wearable devices and cameras, are hindered by issues such as variable lighting conditions and privacy considerations…”

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Smart fall detection monitoring system using wearable sensor and Raspberry Pi by Lim, Chee Chin, Mahmud, Nur Fazilah Amirah, Vijean, Vikneswaran, Ali, Yusnita Mohd, Salleh, Ahmad Faizal, Tan, Xiao Jian, Basah, Shafriza Nisha

“…The Smart Fall Detection Monitoring System is the name of the programme that monitors everyday activities and falls…”

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A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults by Yu, Xiaoqun, Koo, Bummo, Jang, Jaehyuk, Kim, Youngho, Xiong, Shuping

“… of three different types of algorithms for pre-impact fall detection using both young and old subjects…”

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Person Fall Detection System Based on Video Stream Analysis by Mamchur, Nazar, Shakhovska, Nataliya, Gregus ml, Michal

“… This work contains research and a description of the subject environment and the structure of the system…”

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Ultra low-power, wearable, accelerated shallow-learning fall detection for elderly at-risk persons by Tian, Jingxiao, Mercier, Patrick, Paolini, Christopher

“…This work focuses on the development and manufacturing of a wireless, wearable, low-power fall detection sensor (FDS…”

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Fall Detection Based on Recurrent Neural Networks and Accelerometer Data from Smartphones by Bartczak, Natalia, Glanowska, Marta, Kowalewicz, Karolina, Kunin, Maciej, Susik, Robert

“… This study addresses the fall detection problem. We propose a fall detection solution based on accelerometer data from smartphone devices…”

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Fall Detection Using Federated Lightweight CNN Models: A Comparison of Decentralized vs. Centralized Learning by Haref, Qasim Mahdi, Long, Jun, Yang, Zhan

“… The pipeline begins with data acquisition, in which annotated video-based fall-detection datasets formatted in YOLO are used to extract image crops of human subjects…”

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Fall Detection with the Support Vector Machine during Scripted and Continuous Unscripted Activities by Liu, Shing-Hong, Cheng, Wen-Chang

“…In recent years, the number of proposed fall-detection systems that have been developed has increased dramatically…”

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A ubiquitous wheelchair fall detection system using low-cost embedded inertial sensors and unsupervised one-class SVM by Sheikh, Sofia Yousuf, Jilani, Muhammad Taha

“…Fall detector systems are one of the highly researched areas of Ambient Assisted Living (AAL) applications ensuring safety and autonomous living for the…”

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CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection by Faulkner, Nathaniel, Parr, Baden, Alam, Fakhrul, Legg, Mathew, Demidenko, Serge

“…Passive indoor positioning, also known as Device-Free Localization (DFL), has applications such as occupancy sensing, human-computer interaction, fall detection, and many other location-based services in smart buildings…”

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Post-fall Detection Using ANN Based on Ranking Algorithms by Koo, Bummo, Kim, Jongman, Kim, Taehee, Jung, Haneul, Nam, Yejin, Kim, Youngho

“…The purpose of this study was to develop an accurate and efficient algorithm for post-fall detection…”

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Biomedical Radar System for Real-Time Contactless Fall Detection and Indoor Localization by Mercuri, Marco, Soh, Ping Jack, Mehrjouseresht, Pouya, Crupi, Felice, Schreurs, Dominique

“… In this respect, in this work, a biomedical radar system is proposed for remote real-time fall detection and indoor localization…”

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A real-time fall detection system based on the acceleration sensor of smartphone by Lee, Youngmin, Yeh, Hongjin, Kim, Ki-Hyung, Choi, Okkyung

“… In this article, we propose a fall detection system that uses the acceleration sensor of a smartphone to detect a senior citizen falling in real time and to use the communication capabilities…”

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A dataset for the development and optimization of fall detection algorithms based on wearable sensors by Cotechini, Valentina, Belli, Alberto, Palma, Lorenzo, Morettini, Micaela, Burattini, Laura, Pierleoni, Paola

“…This paper describes a dataset acquired on 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL…”

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Design and evaluation of a device worn for fall detection and localization: Application for the continuous monitoring of risks incurred by dependents in an Alzheimer’s care unit by Charlon, Yoann, Fourty, Nicolas, Bourennane, Walid, Campo, Eric

“…•The preliminary results of fall detection function are encouraging. The Homecare project, which is part of a research project funded by the French National Research Agency (ANR…”

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Fall detection using features extracted from skeletal joints and SVM: Preliminary results by Maldonado-Mendez, Carolina, Hernandez-Mendez, Sergio, Torres-Muñoz, Delia, Hernandez-Mejia, Carlos

“… The feature set is computed from the joint data provided by the Kinect. The sequences performed by the odd subjects from the TST Fall detection v2 dataset are used to generate the classifier, which is a…”

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PIFall: A Pressure Insole-Based Fall Detection System for the Elderly Using ResNet3D by Guo, Wei, Liu, Xiaoyang, Lu, Chenghong, Jing, Lei

“… Existing fall detection methods using cameras and wearable sensors face challenges such as privacy concerns, blind spots in vision and being troublesome to wear…”

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Automatic Fall Detection and Activity Classification by a Wearable Embedded Smart Camera by Ozcan, Koray, Mahabalagiri, Anvith Katte, Casares, Mauricio, Velipasalar, Senem

“… of potential health problems. In this paper, we present a fall detection and activity classification system using wearable cameras…”

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Construction of an Aggregated Fall Detection Model Utilizing a Microwave Doppler Sensor by Nishio, K., Kaburagi, T., Hamada, Y., Matsumoto, T., Kumagai, S., Kurihara, Y.

“… (based on the likelihood) in each fall and nonfall events. To validate the proposed method, we conducted an experiment with 20 subjects who performed three fall actions and four…”

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