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01847nab a22002297i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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CITU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250509102920.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250509c2020 ph |||p| |||| 00| 0 eng d |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Preferred name for the person |
Flores, Fritz Kevin. |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
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| Title |
Gait abnormality detection using multimodal sensors and machine learning / |
| Statement of responsibility, etc |
Fritz Kevin Flores [and four others]. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date of publication, distribution, etc |
2020 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Gait can be defined as how a person walks. When the person is not able to walk properly due to different factors it can be deduced that their gait is abnormal. The proponents want to simplify and improve the process of detecting whether a person has gait abnormality or not through the use of technologies. In this study, a Kinect sensor and a smart flooring sensor were used together to collect the data needed for the study. Overall, the researchers had 30 samples containing 20 participants with an additional of 10 acted data. Features such as Stride length, Symmetry, and Cadence were collected. Then, the data were preprocessed by using methods such as feature scaling, feature extraction, and feature selection before being fed into K-Nearest Neighbors (KNN) and K-means Clustering machine learning algorithms, as well as Convolutional Neural Network (CNN) deep learning algorithms, to create different classifiers for gait. Finally, evaluation metrics such as accuracy, DBI, and loss were used toselect the best classifiers that would be used in the decision-level fusion. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Gait disorders. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Detectors. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Mendoza, Adrian Charles. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Roque, Antonio Enrico. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Santos, Anna Francesca. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Uy, Vivian Mae. |
| Relator term |
author |
| 773 ## - HOST ITEM ENTRY |
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| Title |
Philippine Computing Journal |
| Relationship information |
vol. 15, no. 2: (Dec. 2020), pages 7-18. |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
JOURNAL ARTICLE |