Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole
Understanding the foot strike pattern (FSP) and impact force of running-related injuries is crucial for athletes and researchers. This study investigated a novel method for detecting FSP using the loadsol<sup>®</sup> sensor insole during treadmill running. Twelve collegiate athletes ran...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/14/4417 |
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| author | Keiichiro Hata Yohei Yamazaki Misato Ishikawa Toshio Yanagiya |
| author_facet | Keiichiro Hata Yohei Yamazaki Misato Ishikawa Toshio Yanagiya |
| author_sort | Keiichiro Hata |
| collection | DOAJ |
| description | Understanding the foot strike pattern (FSP) and impact force of running-related injuries is crucial for athletes and researchers. This study investigated a novel method for detecting FSP using the loadsol<sup>®</sup> sensor insole during treadmill running. Twelve collegiate athletes ran at three different speeds (12, 15, and 20 km/h), with their FSP determined using both the kinematic method based on the foot strike angle and the loadsol<sup>®</sup> method based on the plantar force applied to the rear-, mid-, and forefoot sensor areas. This study provides significant insights into FSP detection. Comparing the kinematic method to the loadsol<sup>®</sup> method, the rearfoot, midfoot, and forefoot strike detection rates were 94.7%, 37.1%, and 81.8%, respectively. Moreover, the FSP was not uniform, even during treadmill running at a constant speed, with most participants exhibiting mixed patterns across different speeds. The loadsol<sup>®</sup> sensor insole could offer a promising device for in-field measurement of FSP and impact forces, potentially helping researchers and athletes better understand and predict the potential running-related injury risks by monitoring step-to-step variations in running biomechanics. |
| format | Article |
| id | doaj-art-1b4d988cf7b5472f9c5ee938bc2e1fd5 |
| institution | Matheson Library |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-1b4d988cf7b5472f9c5ee938bc2e1fd52025-07-25T13:36:16ZengMDPI AGSensors1424-82202025-07-012514441710.3390/s25144417Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor InsoleKeiichiro Hata0Yohei Yamazaki1Misato Ishikawa2Toshio Yanagiya3Faculty of Physical Education, International Pacific University, Okayama 709-0863, JapanGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, JapanGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, JapanGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, JapanUnderstanding the foot strike pattern (FSP) and impact force of running-related injuries is crucial for athletes and researchers. This study investigated a novel method for detecting FSP using the loadsol<sup>®</sup> sensor insole during treadmill running. Twelve collegiate athletes ran at three different speeds (12, 15, and 20 km/h), with their FSP determined using both the kinematic method based on the foot strike angle and the loadsol<sup>®</sup> method based on the plantar force applied to the rear-, mid-, and forefoot sensor areas. This study provides significant insights into FSP detection. Comparing the kinematic method to the loadsol<sup>®</sup> method, the rearfoot, midfoot, and forefoot strike detection rates were 94.7%, 37.1%, and 81.8%, respectively. Moreover, the FSP was not uniform, even during treadmill running at a constant speed, with most participants exhibiting mixed patterns across different speeds. The loadsol<sup>®</sup> sensor insole could offer a promising device for in-field measurement of FSP and impact forces, potentially helping researchers and athletes better understand and predict the potential running-related injury risks by monitoring step-to-step variations in running biomechanics.https://www.mdpi.com/1424-8220/25/14/4417running biomechanicsplantar forcesensor insoleimpact-related running injury prevention |
| spellingShingle | Keiichiro Hata Yohei Yamazaki Misato Ishikawa Toshio Yanagiya Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole Sensors running biomechanics plantar force sensor insole impact-related running injury prevention |
| title | Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole |
| title_full | Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole |
| title_fullStr | Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole |
| title_full_unstemmed | Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole |
| title_short | Foot Strike Pattern Detection Using a Loadsol<sup>®</sup> Sensor Insole |
| title_sort | foot strike pattern detection using a loadsol sup r sup sensor insole |
| topic | running biomechanics plantar force sensor insole impact-related running injury prevention |
| url | https://www.mdpi.com/1424-8220/25/14/4417 |
| work_keys_str_mv | AT keiichirohata footstrikepatterndetectionusingaloadsolsupsupsensorinsole AT yoheiyamazaki footstrikepatterndetectionusingaloadsolsupsupsensorinsole AT misatoishikawa footstrikepatterndetectionusingaloadsolsupsupsensorinsole AT toshioyanagiya footstrikepatterndetectionusingaloadsolsupsupsensorinsole |