Using Machine Learning Algorithms to Recognize Shuttlecock Movements

Table 3

Experimental results of recognition of shuttlecock movements.

Action classification	Number of actions	Recall rate	Accuracy	Recognition rate
Plate	41	87.6	85.3	87.6
Stretch	156	85.3	91.4	91.2
Abduction	158	89.4	92.5	84.2
Knock	255	87.4	89.7	75.9
Wipe	136	57.3	62.5	76.3
Rear	170	64.8	75.1	72.3
Hook	224	59.6	66.8	75.4
Kick	207	58.4	68.9	71.8