A Deep Learning Approach for Table Tennis Forehand Stroke Evaluation System Using an IMU Sensor

Table 1

The experiment framework phases.

#	Phase	Descriptions
1	Hardware setup	Selecting an appropriate sensor
		The sensor placement, the sensor calibration
2	Data acquisition [20]	Participants characteristics
		Defining data acquisition protocols
		Labeling and scoring samples
3	Preprocessing [17]	Eliminating incomplete data
		Time-series signals segmentation
		Normalizing segmented signals
4	Processing	Networks setup
		Model parameters setup
		Training and testing models
		Computing performance metrics
		Comparing models’ performances