Surgical Hand Tracking for Gesture-Based Robot Mode Control
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Solution Overview
Problem
Current minimally invasive surgical systems lack effective control mechanisms that utilize hand movements to accurately control surgical instruments, relying on cumbersome foot pedals and switches, which can be distracting and limit the surgeon's focus on the surgical site.
Innovation Solution
A hand tracking system that uses sensors mounted on the surgeon's hand to track movements, generating control parameters for grip closure, orientation, and position, allowing for precise control of teleoperated surgical instruments and endoscopic cameras through natural hand gestures and motions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If foot pedals and switches are used to control surgical instruments, then the surgical system can be operated, but the surgeon's focus is distracted and control precision is reduced
Solution Approach 1:
The patent replaces mechanical foot pedals and switches with an optical hand tracking system that uses cameras and computer vision algorithms to detect and interpret hand gestures. This substitution eliminates the need for physical contact controls, allowing surgeons to maintain visual focus on the surgical site while precisely controlling instruments through gesture recognition.
Solution Approach 2:
The patent introduces an intermediary hand tracking system that translates natural hand gestures into control commands for surgical instruments. This intermediary layer between the surgeon's intent and instrument control eliminates the need for direct interaction with foot pedals, reducing distraction and improving control precision through more intuitive gesture-based interfaces.
2Measurement precision
If hand tracking sensors are mounted on the surgeon's hand, then control precision is improved, but device complexity increases
Solution Approach 1:
The patent uses optical copying through camera-based hand tracking instead of mounting physical sensors on the surgeon's hand. The system captures images of the hand and uses computer vision algorithms to extract position and gesture information, eliminating the need for complex sensor mounting while maintaining high tracking precision.
Solution Approach 2:
The patent employs a multi-functional hand tracking system that can simultaneously perform multiple tasks: tracking hand position, recognizing gestures, determining grip state, and controlling various surgical instruments. This universal system reduces overall device complexity by consolidating multiple control functions into a single integrated platform.
3Ease of operation
If natural hand gestures are used to control surgical instruments, then ease of operation is improved, but system reliability may be compromised due to gesture recognition challenges
Solution Approach 1:
The patent implements preliminary gesture definition and training phases where standard gestures are pre-defined and surgeons are trained on specific hand motions. The system includes pre-programmed gesture recognition algorithms that have been optimized through prior testing, ensuring reliable and consistent interpretation of surgical gestures during actual procedures.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system provides real-time confirmation of recognized gestures and allows for correction of misrecognized commands. This feedback loop enhances reliability by ensuring that the intended gesture is accurately captured before executing instrument control actions, while maintaining the intuitiveness of natural hand movements.
Data Source
AI summary
A method and system for hand tracking in a robotic system includes a hand tracking system and a controller coupled to the hand tracking system. The controller is configured to receive, from the hand tracking system, a plurality of locations of a hand; determine if the hand is in a first hand pose based on the plurality of locations; in response to determining that the hand is in the first hand pose, and switch the robotic system to a hand trajectory detection mode. While in the hand trajectory detection mode, the control unit is configured to detect, based on hand tracking information from the hand tracking system, that the hand has performed a first hand trajectory of a plurality of known hand trajectories; and in response to detecting the first hand trajectory, change a mode of operation of the robotic system.