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Title:
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NOVEL 4-SENSOR SYSTEM FOR FALL DETECTION
AND ABNORMAL MEDICAL SITUATIONS
IDENTIFICATION |
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Author(s):
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Gairat Kuttumuradov, Arslan Mukhamatnurov, Nurmukhamed Tursumbek and Laurent Billonnet |
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ISBN:
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978-989-8533-89-0 |
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Editors:
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Mário Macedo |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Inclinometer, Heartbeat Sensor, Falls, Abnormal Situation |
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Type:
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Reflection Paper |
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First Page:
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237 |
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Last Page:
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240 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Many organizations and industries already provide turnkey solutions for the detection of falls, but many of these systems
are too expensive. Most of people like living independently at home. However, many people are not able to afford
expensive systems to detect or prevent falls. Many people are not even thinking about using it. Some activities in our
daily life can lead to accidents, such as falls. The fall are defined as unintentionally coming to rest on the ground, floor or
other lower levels. Falls can lead people to fatal conditions, even death. We propose here a four-sensor concept to
improve the efficiency of the system and reduce its global cost. A basic concept of fall detection system using three
inclinometers and a heartbeat sensor based on Smartphone is presented. Inclinometers and heartbeat sensors are worn in
different part of human body to detect fall more accurately. Automatic alert call will be sent to family members or
caregivers when a fatal condition is identified. Our system is quite innovative since it can distinguish several situations
critical or not by combining data coming from the four sensors. Thus, the system can also monitor daily activities to
improve daily life of the users. |
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