Usefulness of hand sensor device for lumbar load estimation
We have developed a novel hand sensor device designed to mitigate sensor malfunction caused by palm bending and to adjust output values by considering palm hardness. The primary goal of this device is not to acquire accurate hand load values but rather to gather pertinent information for estimating...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | SICE Journal of Control, Measurement, and System Integration |
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| Online Access: | http://dx.doi.org/10.1080/18824889.2024.2366554 |
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| _version_ | 1850106496989265920 |
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| author | Yusuke Yoshida Takashi Kamezaki Dai Kinoshita Daisuke Kushida |
| author_facet | Yusuke Yoshida Takashi Kamezaki Dai Kinoshita Daisuke Kushida |
| author_sort | Yusuke Yoshida |
| collection | DOAJ |
| description | We have developed a novel hand sensor device designed to mitigate sensor malfunction caused by palm bending and to adjust output values by considering palm hardness. The primary goal of this device is not to acquire accurate hand load values but rather to gather pertinent information for estimating the lumbar load. Therefore, leveraging the load and posture data captured by this sensor, we endeavoured to estimate the electromyography (EMG) value – specifically the muscle action potentials in the lumbar region – using myoelectric potential sensors and adopting deep learning methodologies. The estimated values closely matched the EMG results and demonstrated a strong correlation with actual measurements of vertical luggage movement. Additionally, the usefulness of the hand sensor device was validated through simulations conducted with varying levels of information, thereby elucidating the impact of explanatory variables used in the estimation process. |
| format | Article |
| id | doaj-art-3597a210bb704d24bdd3581b1b3f64e2 |
| institution | OA Journals |
| issn | 1884-9970 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | SICE Journal of Control, Measurement, and System Integration |
| spelling | doaj-art-3597a210bb704d24bdd3581b1b3f64e22025-08-20T02:38:49ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702024-12-0117125626310.1080/18824889.2024.23665542366554Usefulness of hand sensor device for lumbar load estimationYusuke Yoshida0Takashi Kamezaki1Dai Kinoshita2Daisuke Kushida3Tottori Institute of Industrial TechnologyTottori Institute of Industrial TechnologyNational Institute of TechnologyTottori UniversityWe have developed a novel hand sensor device designed to mitigate sensor malfunction caused by palm bending and to adjust output values by considering palm hardness. The primary goal of this device is not to acquire accurate hand load values but rather to gather pertinent information for estimating the lumbar load. Therefore, leveraging the load and posture data captured by this sensor, we endeavoured to estimate the electromyography (EMG) value – specifically the muscle action potentials in the lumbar region – using myoelectric potential sensors and adopting deep learning methodologies. The estimated values closely matched the EMG results and demonstrated a strong correlation with actual measurements of vertical luggage movement. Additionally, the usefulness of the hand sensor device was validated through simulations conducted with varying levels of information, thereby elucidating the impact of explanatory variables used in the estimation process.http://dx.doi.org/10.1080/18824889.2024.2366554hand sensorinertia sensormyoelectric potential sensorlumbar loadrecurrent neural networklumbar load estimation |
| spellingShingle | Yusuke Yoshida Takashi Kamezaki Dai Kinoshita Daisuke Kushida Usefulness of hand sensor device for lumbar load estimation SICE Journal of Control, Measurement, and System Integration hand sensor inertia sensor myoelectric potential sensor lumbar load recurrent neural network lumbar load estimation |
| title | Usefulness of hand sensor device for lumbar load estimation |
| title_full | Usefulness of hand sensor device for lumbar load estimation |
| title_fullStr | Usefulness of hand sensor device for lumbar load estimation |
| title_full_unstemmed | Usefulness of hand sensor device for lumbar load estimation |
| title_short | Usefulness of hand sensor device for lumbar load estimation |
| title_sort | usefulness of hand sensor device for lumbar load estimation |
| topic | hand sensor inertia sensor myoelectric potential sensor lumbar load recurrent neural network lumbar load estimation |
| url | http://dx.doi.org/10.1080/18824889.2024.2366554 |
| work_keys_str_mv | AT yusukeyoshida usefulnessofhandsensordeviceforlumbarloadestimation AT takashikamezaki usefulnessofhandsensordeviceforlumbarloadestimation AT daikinoshita usefulnessofhandsensordeviceforlumbarloadestimation AT daisukekushida usefulnessofhandsensordeviceforlumbarloadestimation |