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Keyword [Intention Recognition]
Result: 1 - 20 | Page: 1 of 3
1. A Study Of Eeg-based Human Status Measurement
2. Research On The Method Of Upper Limb Movement Intention Recognition Based On EEG/EOG
3. Study On The Key Technologies Of Motion Intention Sensing And Recognition Of Intelligent Lower Limb Prostheses
4. Research On Key Technology Of Intelligent Bionic Leg Driven By Variable Stiffness Actuator
5. Research On Recognizing The Intention Of Walking And Gait Regulation Based On Cerebral Hemoglobin Information
6. Study On Motion Intention Recognition From The Integration Of EEG And Joint Angles For Active Rehabilitation Training System
7. Research On Lower Limb Motion Intention Recognition Based On SEMG Signal
8. Research On Natural Interactive Motion Intention Recognition Method Based On Bioelectrical Signal
9. Research On Discrimination Of Expected Motion Rehabilitation Training States Of Stroke And Human-computer Interaction Control
10. Research On Recognition Of Movement Intent And Fatigue Estimation In Rehabilitation Training Of Lower Limbs
11. Research On The Integration And Active Control Technologies Of Lower-limb Exoskeleton For Rehabilitation Training
12. Motion Intention Recognition Of Lower Limb Prosthesis Based On Fusion Feature And Stratification Strategy
13. Research On Motion Intention Recognition Of Lower Limb Prostheses
14. Study On The Method Of Upper Limb Motion Intention Recognition And Motor Functional Evaluation During Robot-Assisted Rehabilitation
15. Recognition Of Motion Intention Based On Biosensor For Rehabilitation Robot
16. Research And Implementation Of Automatic Question Answering System Based On Medical Knowledge Graph
17. Design And Implementation Of Medical Guidance Question Answering System Based On Knowledge Map
18. Research On Human Body Movement Intention Recognition Based On Surface Electromyography
19. Motion Intention Recognition Method For Shoulder Joint Based On Passive Motion Information
20. Research On Interactive Control Methods Of Upper Limb Rehabilitation Robot Based On Surface EMG Signals
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