Fig. 2: Trajectory estimation during strength training. | Nature Communications

Fig. 2: Trajectory estimation during strength training.

From: Learning-based 3D human kinematics estimation using behavioral constraints from activity classification

Fig. 2

a Confusion matrix across the following strength training exercise classes: Bench Press (BP), Biceps Curl (BC), Side Lateral Raise (LR), Shoulder Press (SP), Lat Pull Down (LA), Squat (SQ), Barbell Lunge (BL), Barbell Row (BR), Triceps Curl (TR), Dumbbell Fly (DF), Deadlift (DL). Unmarked black boxes indicate 100% accuracy. b Overall trajectory error across exercises in Root Mean Squared Error (RMSE). LSTM stands for Long Short-Term Memory, DCNN stands for Dilated Convolutional Neural Network, and AIL-KE stands for Activity-In-the-Loop Kinematics Estimator. c Overall velocity error across exercises in RMSE. d Example trajectory plot in the global z-direction for Biceps curl at a normal to variable speeds. e Trajectory error of wrist IMU for different movement speeds in RMSE. f Velocity error for different movement speeds in RMSE. g Trajectory error for different strength training exercises.

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