Literature DB >> 18270451

Protection against impact with the ground using wearable airbags.

Kiyoshi Fukaya1, Mitsuya Uchida.   

Abstract

Incidental falls from heights, falls on the same level caused by slipping or tripping, and falls from wheelchair overturns are commonplace phenomena, associated with serious injuries from impact with the ground. A wearable airbag device is a countermeasure applicable to all these types of incidents. Three types of wearable airbag systems were developed and evaluated: for protection against falls from heights (Type-1), against wheelchair overturns (Type-2), and against falls on the same level (Type-3). The systems consist of an airbag, sensor, inflator, and jacket. The sensor detects the fall and the airbag inflates to protect the user. Fall tests using dummies with/without the airbags demonstrated the effectiveness of these devices. In the experiments with system Type-1, for fall heights of less than 2m, the airbags reduced the impact acceleration, and the Head Injury Criterion (HIC) values were under 1,000, the auto-crash test requirement. However, there are limits to the amount of protection afforded: in Type-1, the airbag can protect only the back of the head.; in Types-2 and 3, the fall height of the center of gravity is lower than 2m, and there is some margin of extra protective resource, which can be used to extend the protected area.

Mesh:

Year:  2008        PMID: 18270451     DOI: 10.2486/indhealth.46.59

Source DB:  PubMed          Journal:  Ind Health        ISSN: 0019-8366            Impact factor:   2.179


  8 in total

1.  Automatic individual calibration in fall detection--an integrative ambulatory measurement framework.

Authors:  Jian Liu; Thurmon E Lockhart
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-12-08       Impact factor: 1.763

Review 2.  Assessing the stability of human locomotion: a review of current measures.

Authors:  S M Bruijn; O G Meijer; P J Beek; J H van Dieën
Journal:  J R Soc Interface       Date:  2013-03-20       Impact factor: 4.118

3.  Trunk angular kinematics during slip-induced backward falls and activities of daily living.

Authors:  Jian Liu; Thurmon E Lockhart
Journal:  J Biomech Eng       Date:  2014-10       Impact factor: 2.097

4.  Wearable airbag technology and machine learned models to mitigate falls after stroke.

Authors:  Olivia K Botonis; Yaar Harari; Kyle R Embry; Chaithanya K Mummidisetty; David Riopelle; Matt Giffhorn; Mark V Albert; Vallery Heike; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2022-06-17       Impact factor: 5.208

5.  Impact attenuation provided by older adult protective headwear products during simulated fall-related head impacts.

Authors:  Daniel R Martel; Michelle R Tanel; Andrew C Laing
Journal:  J Rehabil Assist Technol Eng       Date:  2021-10-29

Review 6.  A review of wearable sensors and systems with application in rehabilitation.

Authors:  Shyamal Patel; Hyung Park; Paolo Bonato; Leighton Chan; Mary Rodgers
Journal:  J Neuroeng Rehabil       Date:  2012-04-20       Impact factor: 4.262

Review 7.  Automatic fall monitoring: a review.

Authors:  Natthapon Pannurat; Surapa Thiemjarus; Ekawit Nantajeewarawat
Journal:  Sensors (Basel)       Date:  2014-07-18       Impact factor: 3.576

8.  Acceleration Magnitude at Impact Following Loss of Balance Can Be Estimated Using Deep Learning Model.

Authors:  Tae Hyong Kim; Ahnryul Choi; Hyun Mu Heo; Hyunggun Kim; Joung Hwan Mun
Journal:  Sensors (Basel)       Date:  2020-10-28       Impact factor: 3.576

  8 in total

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