Search Results - "Fall detection algorithm"

Evaluation of Inertial Sensor-Based Pre-Impact Fall Detection Algorithms Using Public Dataset by Ahn, Soonjae, Kim, Jongman, Koo, Bummo, Kim, Youngho

“…In this study, pre-impact fall detection algorithms were developed based on data gathered by a custom-made inertial measurement unit (IMU). Four types of…”
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Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model by Hsieh, Chia-Yeh, Liu, Kai-Chun, Huang, Chih-Ning, Chu, Woei-Chyn, Chan, Chia-Tai

“…Falls are the primary cause of accidents for the elderly in the living environment. Reducing hazards in the living environment and performing exercises for…”
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Current Situation, Problems and Countermeasures of Community Home Nursing Service in the Internet+ Era by Zhao, Fangfang

“…The problem of population aging is intensifying worldwide. The proportion of the elderly population is gradually increasing, and the wisdom of elderly care…”
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Third Eye - A Compact Wearable Device and Dedicated Android App for Disabled Senior Citizens and Patients by Dhakshak, P., Veigas, Alastair Bill, Anudeep, K., Pradyumna, G. R., Hegde, Roopa B.

“…Falls constitute a prevalent cause of hospitalization and injury among the elderly population, often resulting in severe debilitation and ranking as the…”
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Pose orientation analysis for fall detection using non-invasive technologies by Dutescu, Razvan-Alexandru, Apostol, Mihai

“…Older adults are more susceptible to falling which can cause serious health problems due to their frail bodies, dizziness, and other common health problems…”
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IoT based Indoor Senior Citizen Monitoring and Alerting System by Shanmugam, Kamalanathan, Rana, Muhammad Ehsan, Ong, Grace

“…An Indoor Senior Citizen Monitoring and Alerting System with IoT Sensors should he implemented as it helps facilitate the monitoring process of senior…”
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A Fall Detection Algorithm for Thigh mounted Smartphones using Random Forest and Feature Selection Techniques by Maryam, Rida, Shahzad, Ahsan, Bashir, Mariam, Caceres-Najarro, Lismer Andres, Kim, Minseok

“…Falls are sudden incidents that cause the body to go down onto the ground or toward the ground without intention or by accident. Falls can result in physical…”
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Fall Detection Algorithm using the Fall Feature Parameters Extracted from Video and Accelerometer Sensor by Yu, YunSeop, Kim, Sang-Hoon

“…A newly developed fall detection algorithm applied to a simple threshold method and hidden Markov model (HMM) is introduced. The algorithm is based on the fall…”
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Bridging the gap between real-life data and simulated data by providing a highly realistic fall dataset for evaluating camera-based fall detection algorithms by Baldewijns, Greet, Debard, Glen, Mertes, Gert, Vanrumste, Bart, Croonenborghs, Tom

“…Fall incidents are an important health hazard for older adults. Automatic fall detection systems can reduce the consequences of a fall incident by assuring…”
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Innovative IoT Solutions and Wearable Sensing Systems for Monitoring Human Biophysical Parameters: A Review by De Fazio, Roberto, De Vittorio, Massimo, Visconti, Paolo

“…Digital and information technologies are heavily pervading several aspects of human activities, improving our life quality. Health systems are undergoing a…”
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A Novel Heuristic Fall-Detection Algorithm Based on Double Thresholding, Fuzzy Logic, and Wearable Motion Sensor Data by Barshan, Billur, Turan, Mustafa Sahin

“…We present a novel heuristic fall-detection algorithm based on combining double thresholding of two simple features with fuzzy logic techniques. We extract the…”
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IoT-Cloud Integration with Reinforcement Learning for Elderly Fall Detection by Bhardwaj, Diwakar, Bordoloi, Dibyhash, Deepak, A., Srivastava, Arun Pratap, Mayuri, K, Khan, Akhilesh Kumar

“…This project greatly contributes to the integration of IOT systems for the actual development of fall detection mechanisms with advanced RL algorithms. Hence…”
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Concept-to-implementation of New Threshold-based Fall Detection Sensor by Clarke, Kaleb, Ariyarathna, Thilanga, Kumari, Sarla

“…Fall-detection is a growing industry, and one which is increasingly subject to attention from medical professionals and academics. Fall-detection is commonly…”
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