The inescapable smart impact detection system (ISIS): An ubiquitous and personalized fall detector based on a distributed 'divide and conquer strategy'
Autor: | María Gloria del Río-Cidoncha, Manuel Prado-Velasco, Rafael Ortíz-Marín |
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Předmět: |
Divide and conquer algorithms
Engineering Telemedicine Health Services for the Aged Monitoring Ambulatory Poison control Computer security computer.software_genre Pattern Recognition Automated User-Computer Interface Software Activities of Daily Living Humans False Positive Reactions Electronics Aged business.industry Fall detector Equipment Design Home Care Services Electronics Medical Null (SQL) Personal Autonomy Pattern recognition (psychology) Accidental Falls business computer Algorithms |
Zdroj: | Scopus-Elsevier |
Popis: | Despite the intense research in the last decade with the aim of developing a reliable solution for fall detection in the elderly and other risk populations, it can be asserted that the diffusion of fall detectors in the geriatric practice is near null. This scenario is similar to the very scarce use of telemedicine in healthcare. The present work begins analyzing why fall detectors have not achieved to permeate the industry. That road is used to know the drawbacks of current devices and systems, besides to allow studying several important concepts underlying the principles of fall detection. A novel smart detection system based on that survey is finally briefly presented. The design of this device is founded on the experience and results obtained by an earlier device that was designed in the framework of the thesis of one of the authors. |
Databáze: | OpenAIRE |
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