Optimization of a pre-impact fall detection algorithm and development of hip protection airbag system

Soonjae Ahn, Dagyeong Choi, Jongman Kim, Seongjung Kim, Youngjae Jeong, Min Jo, Youngho Kim

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


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).

Original languageEnglish
Pages (from-to)1743-1752
Number of pages10
JournalSensors and Materials
Issue number8
StatePublished - 2018
Externally publishedYes


  • Airbag
  • Inertial sensor unit
  • Optimization
  • Pre-impact fall detection


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