Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
Metrics for Laparoscopic Skills Trainers: The Weakest Link!
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Body Sensor Networks
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Proceedings of the 4th workshop on Embedded networked sensors
Similarity-based clustering of sequences using hidden Markov models
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
HMM assessment of quality of movement trajectory in laparoscopic surgery
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Automatic detection and segmentation of robot-assisted surgical motions
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
The effect of depth perception on visual-motor compensation in minimal invasive surgery
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Introduction to the special section on computationalintelligence in medical systems
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
An eye-hand data fusion framework for pervasive sensing of surgical activities
Pattern Recognition
The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices
Pervasive and Mobile Computing
Proceedings of the 7th International Convention on Rehabilitation Engineering and Assistive Technology
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Laparoscopic surgery is a challenging task in minimally invasive surgery, which involves complex instrument control, extensive manual dexterity, and hand-eye coordination. This requires a greater attention to training and skills evaluation. In order to provide a more objective skills assessment method, this paper presents a wireless sensor platform for the capture of laparoscopic hand gesture data and a hidden-Markov-model-based analysis framework for optimal sensor selection and placement. Detailed experimental validation is provided to illustrate how the proposed method can be used to assess surgical performance improvement over repeated training.