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Feature selection, construction and test of model for estimating lower extremity strength of older adults using foot motion measured by an in-shoe motion sensor.

, , , , , , и . EMBC, стр. 1-6. IEEE, (2023)

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Yoshitaka Toyama

Yoshitaka Nakamura

 

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Feature selection, construction and test of model for estimating lower extremity strength of older adults using foot motion measured by an in-shoe motion sensor., , , , , , и . EMBC, стр. 1-6. IEEE, (2023)Assessment method of balance ability of older adults using an in-shoe motion sensor., , , , , , , и . BioCAS, стр. 448-452. IEEE, (2022)A Basic Study on Detection of Movement State in Stride by Artificial Neural Network for Estimating Stride Length of Hemiplegic Gait Using IMU., и . EMBC, стр. 3151-3154. IEEE, (2019)Estimating range of pelvic motion during gait by using in-shoe motion sensors., , , , , , , и . I2MTC, стр. 1-6. IEEE, (2023)Estimation of Hand Grip Strength Using Foot motion Measured by In-shoe Motion Sensor., , , , , , и . EMBC, стр. 898-903. IEEE, (2022)Estimation of knee flexion features using foot motion data from in-shoe motion sensors., , , , , , , и . I2MTC, стр. 1-5. IEEE, (2023)Development of Artificial Neural Network Based Automatic Stride Length Estimation Method Using IMU: Validation Test with Healthy Subjects., и . IEICE Trans. Inf. Syst., 103-D (9): 2027-2031 (2020)Healthcare Application of In-Shoe Motion Sensor for Older Adults: Frailty Assessment Using Foot Motion during Gait., , , , , , и . Sensors, 23 (12): 5446 (2023)Few-shot generative model for skeleton-based human action synthesis using cross-domain adversarial learning., , , и . WACV, стр. 3934-3943. IEEE, (2024)