國立虎尾科技大學 |

Advancing Gait Identification and Analysis with a Soft, Compact 3D Force Sensing Insole System.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Advancing Gait Identification and Analysis with a Soft, Compact 3D Force Sensing Insole System./
作者:	Vlach, Jared A.
面頁冊數:	1 online resource (187 pages)
附註:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
標題:	Biomedical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798382823744

Advancing Gait Identification and Analysis with a Soft, Compact 3D Force Sensing Insole System.
Vlach, Jared A.

Advancing Gait Identification and Analysis with a Soft, Compact 3D Force Sensing Insole System. - 1 online resource (187 pages)

Source: Masters Abstracts International, Volume: 85-12.

Thesis (M.S.)--University of Nevada, Reno, 2024.

Includes bibliographical references

The field of smart insoles has seen tremendous improvement throughout the last 25 years, driven primarily by the miniaturization of technology and introduction of novel sensing methods. These innovations have broadened the scope of applications in areas such as general health monitoring, disease identification, and sports analysis. However, despite these strides, many research-driven insole advancements still suffer from limitations, including rigidity, bulkiness, high costs, discomfort, and a focus on measurements predominantly in the normal direction. This research targets to address these shortcomings by developing a small, soft, flexible, cost-effective, resilient, and ergonomically designed insole system. Moreover, the goal is to optimize sensing locations to enable three-dimensional measurement capabilities, encompassing both normal and shear stress. Three distinct iterations of insole designs were tested during this study, each targeting improvements across the aforementioned parameters. The initial design underwent experimental validation, achieving an average accuracy of 89.51% with a maximum normalized error metric of 16.41%. Subsequent iterations focused on enhancing durability and practical usability. The second design exhibited promising results, demonstrating an average accuracy of 92.79% with a maximum normalized error metric of 12.22%. Notably, it showcased expected performance across various gait patterns, capturing data from three different force directions at each analysis point. The third design, while still undergoing refinement, displayed considerable improvements, boasting an average accuracy of 94.35% with a maximum normalized error metric of 7.79%. Ongoing research is addressing early limiting factors encountered during practical testing, with the aim of further enhancing performance and robustness.Overall, these designs promote the development of compact, comfortable insole systems featuring optimized sensing capabilities for comprehensive force detection in three dimensions. Moreover, the cost-effectiveness of these designs underscores their accessibility and potential for widespread adoption. Future investigations will focus on leveraging smaller sensors for refined sensing locations and enhancing adhesive properties to bolster the durability of miniaturized sensors.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382823744Subjects--Topical Terms:

588770
Biomedical engineering.
Subjects--Index Terms:

Gait analysisIndex Terms--Genre/Form:

554714
Electronic books.

Advancing Gait Identification and Analysis with a Soft, Compact 3D Force Sensing Insole System.
LDR:03706ntm a22003977 4500 001 1152486
005 20241203090609.5
006 m o d
007 cr mn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382823744
035 $a (MiAaPQ)AAI31300319
035 $a AAI31300319
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Vlach, Jared A. $3 1479489
245 1 0 $a Advancing Gait Identification and Analysis with a Soft, Compact 3D Force Sensing Insole System.
264 0 $c 2024
300 $a 1 online resource (187 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-12.
500 $a Advisor: Shen, Yantao.
502 $a Thesis (M.S.)--University of Nevada, Reno, 2024.
504 $a Includes bibliographical references
520 $a The field of smart insoles has seen tremendous improvement throughout the last 25 years, driven primarily by the miniaturization of technology and introduction of novel sensing methods. These innovations have broadened the scope of applications in areas such as general health monitoring, disease identification, and sports analysis. However, despite these strides, many research-driven insole advancements still suffer from limitations, including rigidity, bulkiness, high costs, discomfort, and a focus on measurements predominantly in the normal direction. This research targets to address these shortcomings by developing a small, soft, flexible, cost-effective, resilient, and ergonomically designed insole system. Moreover, the goal is to optimize sensing locations to enable three-dimensional measurement capabilities, encompassing both normal and shear stress. Three distinct iterations of insole designs were tested during this study, each targeting improvements across the aforementioned parameters. The initial design underwent experimental validation, achieving an average accuracy of 89.51% with a maximum normalized error metric of 16.41%. Subsequent iterations focused on enhancing durability and practical usability. The second design exhibited promising results, demonstrating an average accuracy of 92.79% with a maximum normalized error metric of 12.22%. Notably, it showcased expected performance across various gait patterns, capturing data from three different force directions at each analysis point. The third design, while still undergoing refinement, displayed considerable improvements, boasting an average accuracy of 94.35% with a maximum normalized error metric of 7.79%. Ongoing research is addressing early limiting factors encountered during practical testing, with the aim of further enhancing performance and robustness.Overall, these designs promote the development of compact, comfortable insole systems featuring optimized sensing capabilities for comprehensive force detection in three dimensions. Moreover, the cost-effectiveness of these designs underscores their accessibility and potential for widespread adoption. Future investigations will focus on leveraging smaller sensors for refined sensing locations and enhancing adhesive properties to bolster the durability of miniaturized sensors.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Biomedical engineering. $3 588770
650 4 $a Electrical engineering. $3 596380
650 4 $a Biomechanics. $3 565307
653 $a Gait analysis
653 $a Shear force sensors
653 $a Self-decoupling method
653 $a Signal analysis
653 $a Insole system
655 7 $a Electronic books. $2 local $3 554714
690 $a 0541
690 $a 0544
690 $a 0648
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Nevada, Reno. $b Biomedical Engineering. $3 1479490
773 0 $t Masters Abstracts International $g 85-12.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31300319 $z click for full text (PQDT)