02236nas a2200277   4500000000100000000000100001008004100002260001200043653002500055653002100080653001900101653001800120653002300138100001600161700001100177700001200188700001200200700001600212700001500228245008900243856005800332300000800390490001300398520153300411022001401944       9998                            d  c07/202410aCurve Running Motion10aMachine Learning10aNano-Biosensor10aPosture Angle10aPosture Estimation1 aXiaoming Wu1 aYu Cao1 aYu Wang1 aBing Li1 aHaitao Yang1 aS. P. Raja00aPosture Estimation of Curve Running Motion Using Nano-Biosensor and Machine Learning  uhttps://www.ijimai.org/journal/bibcite/reference/3457  a1-90 vIn press3 aCurve running is a common form of training and competition. Conducting research on posture estimation during curve running can provide more accurate training and competition data for athletes. However, due to the unique nature of curve running, traditional posture estimation methods neglect the temporal changes in athlete posture, resulting in a decrease in estimation accuracy. Therefore, a posture estimation method for curve running motion using nano-biosensor and machine learning is proposed. First, the motion parameters of humans are collected by nano-biosensor, and the posture coordinates are obtained preliminarily. Second, the posture coordinates are established according to the human motion parameters, and the curve running posture data is obtained and filtered to obtain more accurate data. Finally, the Bayesian network in machine learning is used to continuously track the posture, and a nonlinear equation is established to fuse the posture angle obtained by the sensor and the posture tracked by the Bayesian network, to realize the posture estimation of curve running motion. The results show that the proposed estimation method has a good motion posture estimation effect, and the hip joint estimation error, knee joint estimation error and ankle joint estimation error are all less than 5°, and the endpoint displacement estimation offset rate is less than 2%. It can realize accurate motion posture estimation of curve running motion, and has important application value in the field of track training.  a1989-1660