Optimization of a Pre-impact Fall Detection Algorithm and Development of Hip Protection Airbag System

In this study, a pre-impact fall detection algorithm using a custom-made inertial sensor was optimized, and a spring-trigger airbag system was developed for preventing injuries from falls. Four different types of simulated falls were performed by 20 healthy volunteers (age 23.4 ± 4.4 years), and six...

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Vydáno v:Sensors and materials Ročník 30; číslo 8; s. 1743
Hlavní autoři: Ahn, Soonjae, Choi, Dagyeong, Kim, Jongman, Kim, Seongjung, Jeong, Youngjae, Jo, Min, Kim, Youngho
Médium: Journal Article
Jazyk:angličtina
Vydáno: Tokyo MYU Scientific Publishing Division 01.01.2018
Témata:
Acceleration measurement
Age
Air bags
Algorithms
Angular velocity
Artificial leather
Computer simulation
Fall detection
Falls
Inertial sensing devices
Injury prevention
Lead time
Older people
Optimization
Polyurethane resins
ISSN:0914-4935
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Abstract In this study, a pre-impact fall detection algorithm using a custom-made inertial sensor was optimized, and a spring-trigger airbag system was developed for preventing injuries from falls. Four different types of simulated falls were performed by 20 healthy volunteers (age 23.4 ± 4.4 years), and six different daily activities were tested in 14 elderly subjects (age 71.8 ± 4.0 years). An inertial sensor unit was used to measure acceleration, angular velocity, and vertical angle during all activities. Thresholds of 0.9 g acceleration, 47.3°/s angular velocity, and 24.7° vertical angle were determined on the basis of optimizing lead time and accuracy in pre-impact fall detection. A belt-type airbag system consisted of a polyurethane inner skin, an artificial leather outer shell, and a spring-trigger inflator. To evaluate the accuracy of the airbag system, 10 healthy adult males (age 28.5 ± 2.7 years) wore the system and performed three sets of simulated falls. Fall detection was achieved 401.9 ± 46.9 ms before impact on average, and the airbag inflated without fail during the falls (100% sensitivity). In all daily activities, no airbag inflation occurred (100% specificity).
AbstractList In this study, a pre-impact fall detection algorithm using a custom-made inertial sensor was optimized, and a spring-trigger airbag system was developed for preventing injuries from falls. Four different types of simulated falls were performed by 20 healthy volunteers (age 23.4 ± 4.4 years), and six different daily activities were tested in 14 elderly subjects (age 71.8 ± 4.0 years). An inertial sensor unit was used to measure acceleration, angular velocity, and vertical angle during all activities. Thresholds of 0.9 g acceleration, 47.3°/s angular velocity, and 24.7° vertical angle were determined on the basis of optimizing lead time and accuracy in pre-impact fall detection. A belt-type airbag system consisted of a polyurethane inner skin, an artificial leather outer shell, and a spring-trigger inflator. To evaluate the accuracy of the airbag system, 10 healthy adult males (age 28.5 ± 2.7 years) wore the system and performed three sets of simulated falls. Fall detection was achieved 401.9 ± 46.9 ms before impact on average, and the airbag inflated without fail during the falls (100% sensitivity). In all daily activities, no airbag inflation occurred (100% specificity).
Author Ahn, Soonjae
Jeong, Youngjae
Kim, Seongjung
Kim, Youngho
Kim, Jongman
Choi, Dagyeong
Jo, Min
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StartPage 1743
SubjectTerms Acceleration measurement
Age
Air bags
Algorithms
Angular velocity
Artificial leather
Computer simulation
Fall detection
Falls
Inertial sensing devices
Injury prevention
Lead time
Older people
Optimization
Polyurethane resins
Title Optimization of a Pre-impact Fall Detection Algorithm and Development of Hip Protection Airbag System
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