Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis
In the present scenario like COVID-19 pandemic, to maintain physical distance, the gait-based biometric is a must. Human gait identification is a very difficult process, but it is a suitable distance biometric that also gives good results at low resolution conditions even with face features that are...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Journal of Polymer Science |
| Online Access: | http://dx.doi.org/10.1155/2023/2541384 |
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| author | Mamidipaka Hema Jami Venkata Suman Boddepalli Kiran Kumar Adisu Haile |
| author_facet | Mamidipaka Hema Jami Venkata Suman Boddepalli Kiran Kumar Adisu Haile |
| author_sort | Mamidipaka Hema |
| collection | DOAJ |
| description | In the present scenario like COVID-19 pandemic, to maintain physical distance, the gait-based biometric is a must. Human gait identification is a very difficult process, but it is a suitable distance biometric that also gives good results at low resolution conditions even with face features that are not clear. This study describes the construction of a smart carpet that measures ground response force (GRF) and spatio-temporal gait parameters (STGP) using a polymer optical fiber sensor (POFS). The suggested carpet contains two light detection units for acquiring signals. Each unit obtains response from 10 nearby sensors. There are 20 intensity deviation sensors on a fiber. Light-emitting diodes (LED) are triggered successively, using the multiplexing approach that is being employed. Multiplexing is dependent on coupling among the LED and POFS sections. Results of walking experiments performed on the smart carpet suggested that certain parameters, including step length, stride length, cadence, and stance time, might be used to estimate the GRF and STGP. The results enable the detection of gait, including the swing phase, stance, stance length, and double supporting periods. The suggested carpet is dependable, reasonably priced equipment for gait acquisition in a variety of applications. Using the sensor data, gait recognition is performed using genetic algorithm (GA) and particle swarm optimization (PSO) technique. GA- and PSO-based gait template analyses are performed to extract the features with respect to the gait signals obtained from polymer optical gait sensors (POGS). The techniques used for classification of the obtained signals are random forest (RF) and support vector machine (SVM). The accuracy, sensitivity, and specificity results are obtained using SVM classifier and RF classifier. The results obtained using both classifiers are compared. |
| format | Article |
| id | doaj-art-5e52521400f74341a7a97c4e8699fb6c |
| institution | Kabale University |
| issn | 1687-9430 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Polymer Science |
| spelling | doaj-art-5e52521400f74341a7a97c4e8699fb6c2025-02-03T06:47:17ZengWileyInternational Journal of Polymer Science1687-94302023-01-01202310.1155/2023/2541384Design and Development of Polymer-Based Optical Fiber Sensor for GAIT AnalysisMamidipaka Hema0Jami Venkata Suman1Boddepalli Kiran Kumar2Adisu Haile3Department of ECEDepartment of ECEDepartment of CSEDepartment of Mechanical EngineeringIn the present scenario like COVID-19 pandemic, to maintain physical distance, the gait-based biometric is a must. Human gait identification is a very difficult process, but it is a suitable distance biometric that also gives good results at low resolution conditions even with face features that are not clear. This study describes the construction of a smart carpet that measures ground response force (GRF) and spatio-temporal gait parameters (STGP) using a polymer optical fiber sensor (POFS). The suggested carpet contains two light detection units for acquiring signals. Each unit obtains response from 10 nearby sensors. There are 20 intensity deviation sensors on a fiber. Light-emitting diodes (LED) are triggered successively, using the multiplexing approach that is being employed. Multiplexing is dependent on coupling among the LED and POFS sections. Results of walking experiments performed on the smart carpet suggested that certain parameters, including step length, stride length, cadence, and stance time, might be used to estimate the GRF and STGP. The results enable the detection of gait, including the swing phase, stance, stance length, and double supporting periods. The suggested carpet is dependable, reasonably priced equipment for gait acquisition in a variety of applications. Using the sensor data, gait recognition is performed using genetic algorithm (GA) and particle swarm optimization (PSO) technique. GA- and PSO-based gait template analyses are performed to extract the features with respect to the gait signals obtained from polymer optical gait sensors (POGS). The techniques used for classification of the obtained signals are random forest (RF) and support vector machine (SVM). The accuracy, sensitivity, and specificity results are obtained using SVM classifier and RF classifier. The results obtained using both classifiers are compared.http://dx.doi.org/10.1155/2023/2541384 |
| spellingShingle | Mamidipaka Hema Jami Venkata Suman Boddepalli Kiran Kumar Adisu Haile Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis International Journal of Polymer Science |
| title | Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis |
| title_full | Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis |
| title_fullStr | Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis |
| title_full_unstemmed | Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis |
| title_short | Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis |
| title_sort | design and development of polymer based optical fiber sensor for gait analysis |
| url | http://dx.doi.org/10.1155/2023/2541384 |
| work_keys_str_mv | AT mamidipakahema designanddevelopmentofpolymerbasedopticalfibersensorforgaitanalysis AT jamivenkatasuman designanddevelopmentofpolymerbasedopticalfibersensorforgaitanalysis AT boddepallikirankumar designanddevelopmentofpolymerbasedopticalfibersensorforgaitanalysis AT adisuhaile designanddevelopmentofpolymerbasedopticalfibersensorforgaitanalysis |