Finger-Wearable Gesture Tutorial with Engagement Scoring
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Solution Overview
Problem
Electronic devices experience a degraded user experience and inefficient resource utilization due to limited control inputs from secondary devices, leading to excessive processing of unsuccessful control inputs during computer-generated object manipulation.
Innovation Solution
Implementing a method that displays gesture tutorials on an electronic device, using finger-wearable devices to determine user engagement through finger manipulation data, and providing feedback only when the engagement score meets a criterion, thereby improving control efficiency and reducing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a secondary device with preset control buttons is used to manipulate computer-generated objects, then the device structure remains simple, but the control capability and user experience are limited
Solution Approach 1:
The patent replaces traditional mechanical control buttons with a finger-wearable device that captures natural hand gestures. The gesture recognition system substitutes mechanical input mechanisms with sensor-based detection of finger movements, orientations, and interactions with physical objects, thereby expanding control capability without adding complex mechanical structures to the electronic device itself
Solution Approach 2:
The finger-wearable device acts as an intermediary between the user and the electronic device. It captures gesture data from natural hand movements and transmits this data to the electronic device for processing, serving as a mediator that expands control capabilities while keeping the main electronic device structure relatively simple
2Reliability
If multiple control inputs are processed to achieve successful object manipulation, then the user may eventually succeed in the operation, but the resource utilization becomes inefficient
Solution Approach 1:
The system implements feedback by displaying engagement scores and gesture tutorials that guide users toward successful operations. This feedback mechanism reduces the number of unsuccessful control inputs by providing real-time information about gesture recognition status and engagement levels, thereby improving operation success rate while reducing wasted processing resources
Solution Approach 2:
The system performs preliminary validation of gesture inputs before full processing. By checking engagement scores and gesture recognition confidence levels in advance, the system can filter out unsuccessful inputs early, preventing unnecessary resource consumption from processing clearly invalid control attempts
3Productivity
If gesture recognition with engagement scoring is implemented, then the control efficiency and user experience are improved, but the system complexity and processing requirements increase
Solution Approach 1:
The system segments the gesture recognition process into distinct components: finger-wearable device data collection, engagement score calculation, gesture pattern recognition, and feedback display. This segmentation allows each component to be optimized independently and processed in stages, improving control efficiency while managing system complexity through modular architecture
Solution Approach 2:
The system implements partial processing by calculating engagement scores and performing gesture validation only when necessary. Not all gestures require full processing - the system selectively applies engagement scoring based on gesture type and context, thereby improving control efficiency for critical operations while avoiding unnecessary processing overhead for routine actions
Data Source
AI summary
A method is performed at an electronic device with one or more processors, a non-transitory memory, a display, and a communication interface provided to communicate with a finger-wearable device. The method includes displaying first instructional content that is associated with a first gesture. The first instructional content includes a first object. The method includes determining an engagement score that characterizes a level of user engagement with respect to the first object. The method includes obtaining finger manipulation data from the finger-wearable device via the communication interface. The method includes determining that the finger-wearable device performs the first gesture based on a function of the finger manipulation data. The method includes, in response to determining that the finger-wearable device performs the first gesture, in accordance with a determination that the engagement score satisfies an engagement criterion, displaying an indication indicating that the first gesture is directed to the first object.