Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU
Our aim was to validate a sacral-mounted inertial measurement unit (IMU) for reconstructing running kinematics and comparing movement patterns within and between runners. IMU data were processed using Kalman and complementary filters separately. RMSE and Bland–Altman analysis assessed the validity o...
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MDPI AG
2025-01-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/2/315 |
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| author | Hossein Asgari Ben Heller |
| author_facet | Hossein Asgari Ben Heller |
| author_sort | Hossein Asgari |
| collection | DOAJ |
| description | Our aim was to validate a sacral-mounted inertial measurement unit (IMU) for reconstructing running kinematics and comparing movement patterns within and between runners. IMU data were processed using Kalman and complementary filters separately. RMSE and Bland–Altman analysis assessed the validity of each filtering method against a motion capture system. Running data from 24 recreational runners were analyzed using Fourier transform coefficients, PCA, and k-means clustering. High agreement was found for Kalman-filtered data in the frontal, sagittal, and transverse planes, with a Bland–Altman bias of ~2 mm on average, compared to a bias of ~10.5 mm for complementary-filtered data. Pelvic angles calculated from Kalman-filtered data had superior agreement, with systematic biases of ~0.3 versus 3.4 degrees for complementary-filtered data. Our findings suggest that inertial sensors are viable alternatives to motion capture for reconstructing pelvic running kinematics and movement patterns. In the second part of our study, negligible intra-individual differences were observed with changes in speed, while inter-individual differences were large. Two clusters of runners were identified, each showing distinct movement patterns and ranges of motion. These observations highlight the potential usefulness of inertial sensors for performance analysis and rehabilitation as they may permit the use of individual-specific and cluster-specific practice programs. |
| format | Article |
| id | doaj-art-ed509d659750417cae56d20ccccf7554 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-ed509d659750417cae56d20ccccf75542025-01-24T13:48:29ZengMDPI AGSensors1424-82202025-01-0125231510.3390/s25020315Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMUHossein Asgari0Ben Heller1Sport and Physical Activity Research Centre, Sheffield Hallam University, Olympic Legacy Park, 2 Old Hall Rd, Sheffield S9 3TY, UKSport and Physical Activity Research Centre, Sheffield Hallam University, Olympic Legacy Park, 2 Old Hall Rd, Sheffield S9 3TY, UKOur aim was to validate a sacral-mounted inertial measurement unit (IMU) for reconstructing running kinematics and comparing movement patterns within and between runners. IMU data were processed using Kalman and complementary filters separately. RMSE and Bland–Altman analysis assessed the validity of each filtering method against a motion capture system. Running data from 24 recreational runners were analyzed using Fourier transform coefficients, PCA, and k-means clustering. High agreement was found for Kalman-filtered data in the frontal, sagittal, and transverse planes, with a Bland–Altman bias of ~2 mm on average, compared to a bias of ~10.5 mm for complementary-filtered data. Pelvic angles calculated from Kalman-filtered data had superior agreement, with systematic biases of ~0.3 versus 3.4 degrees for complementary-filtered data. Our findings suggest that inertial sensors are viable alternatives to motion capture for reconstructing pelvic running kinematics and movement patterns. In the second part of our study, negligible intra-individual differences were observed with changes in speed, while inter-individual differences were large. Two clusters of runners were identified, each showing distinct movement patterns and ranges of motion. These observations highlight the potential usefulness of inertial sensors for performance analysis and rehabilitation as they may permit the use of individual-specific and cluster-specific practice programs.https://www.mdpi.com/1424-8220/25/2/315running biomechanicsrunning kinematicsrunning movement patternsinertial measurement unitwearable sensorclustering runners |
| spellingShingle | Hossein Asgari Ben Heller Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU Sensors running biomechanics running kinematics running movement patterns inertial measurement unit wearable sensor clustering runners |
| title | Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU |
| title_full | Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU |
| title_fullStr | Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU |
| title_full_unstemmed | Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU |
| title_short | Validation and Analysis of Recreational Runners’ Kinematics Obtained from a Sacral IMU |
| title_sort | validation and analysis of recreational runners kinematics obtained from a sacral imu |
| topic | running biomechanics running kinematics running movement patterns inertial measurement unit wearable sensor clustering runners |
| url | https://www.mdpi.com/1424-8220/25/2/315 |
| work_keys_str_mv | AT hosseinasgari validationandanalysisofrecreationalrunnerskinematicsobtainedfromasacralimu AT benheller validationandanalysisofrecreationalrunnerskinematicsobtainedfromasacralimu |