國立虎尾科技大學 |

A human airbag system based on MEMS motion sensing technology.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A human airbag system based on MEMS motion sensing technology./
作者:	Shi, Guangyi.
面頁冊數:	1 online resource (111 pages)
附註:	Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1855.
Contained By:	Dissertation Abstracts International70-03B.
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781109048988

A human airbag system based on MEMS motion sensing technology.
Shi, Guangyi.

A human airbag system based on MEMS motion sensing technology. - 1 online resource (111 pages)

Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1855.

Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2008.

Includes bibliographical references

Falls and fall-induced fractures are very common among the elderly. Hip fractures account for most of the deaths and costs of all the fall-induced fractures. This dissertation presents a novel MEMS based human airbag system used as a hip protector. A Micro Inertial Measurement Unit (muIMU) which is based on MEMS accelerometers and gyro sensors is developed as the motion sensing part of the system. The result using this muIMU based on Support Vector Machine (SVM) training to recognize falling-motions are presented, where we showed that selected eigenvector sets generated from 200 experimental data can be separated into falling and other motions completely. For real-time recognition, the SVM filter should be embedded to a high speed DSP system for fast computation and complex filter analyses. After the simulations for SVM filter and FFT were performed on a computer simulator (TI DSP320 C6713), we used DSK6713 (DSP Starter Kit) as our target board and integrated FFT and SVM filter on the chip. The whole algorithm works well with exist sensor data. Demo shows that our DSP system can successfully classify fall and non-fall states. At the same time, the system can trigger our airbag inflation mechanism when a fall occurs. The system was shown to open the airbag in real-time and protected the experimenter's hip area.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781109048988Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

A human airbag system based on MEMS motion sensing technology.
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245 1 2 $a A human airbag system based on MEMS motion sensing technology.
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500 $a Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1855.
500 $a Adviser: Wen Jung Li.
502 $a Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2008.
504 $a Includes bibliographical references
520 $a Falls and fall-induced fractures are very common among the elderly. Hip fractures account for most of the deaths and costs of all the fall-induced fractures. This dissertation presents a novel MEMS based human airbag system used as a hip protector. A Micro Inertial Measurement Unit (muIMU) which is based on MEMS accelerometers and gyro sensors is developed as the motion sensing part of the system. The result using this muIMU based on Support Vector Machine (SVM) training to recognize falling-motions are presented, where we showed that selected eigenvector sets generated from 200 experimental data can be separated into falling and other motions completely. For real-time recognition, the SVM filter should be embedded to a high speed DSP system for fast computation and complex filter analyses. After the simulations for SVM filter and FFT were performed on a computer simulator (TI DSP320 C6713), we used DSK6713 (DSP Starter Kit) as our target board and integrated FFT and SVM filter on the chip. The whole algorithm works well with exist sensor data. Demo shows that our DSP system can successfully classify fall and non-fall states. At the same time, the system can trigger our airbag inflation mechanism when a fall occurs. The system was shown to open the airbag in real-time and protected the experimenter's hip area.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Mechanical engineering. $3 557493
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0548
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The Chinese University of Hong Kong (Hong Kong). $3 1180404
773 0 $t Dissertation Abstracts International $g 70-03B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3348882 $z click for full text (PQDT)