Motion analysis: Action detection, recognition and evaluation based on motion capture data

Highlights：

• A novel framework for real-time motion analysis is proposed.

• The devised framework can perform action detection/recognition and evaluation based on motion capture data.

• Automatic and dynamic motion data weighting is introduced, altering joint data significance based on action involvement aiming for more efficient action detection and recognition.

• Action evaluation is performed and, exploiting fuzzy logic, semantic feedback is automatically retrieved proposing ways of action execution improvement.