Gesture Command Execution Using Context-Aware Device Selection
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Solution Overview
Problem
In environments with multiple gesture-controlled devices, determining the intended device for a detected gesture and whether the gesture is intended for control becomes challenging.
Innovation Solution
A system that interprets gestures by considering contextual data from various sources to accurately determine the intended device and action, adjusting recognition thresholds based on environmental context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple gesture-controlled devices are deployed in a premises, then device functionality and control options are improved, but the ability to accurately determine the intended device for a gesture deteriorates
Solution Approach 1:
The patent introduces contextual information as an intermediary element that mediates between the gesture detection and device selection. This context (including device state, environmental conditions, and user behavior patterns) acts as a filtering mechanism to disambiguate which device the user intends to control when multiple devices are present, thereby resolving the contradiction between having multiple controllable devices and accurately determining gesture intent.
Solution Approach 2:
The system dynamically changes the parameters used for gesture recognition and device selection based on contextual information. By adjusting recognition thresholds, device priority weights, and gesture sensitivity levels according to the current environment and device states, the system maintains accurate device identification despite the presence of multiple gesture-controlled devices.
2Measurement precision
If gesture recognition threshold is lowered to capture more gestures, then gesture detection sensitivity is improved, but the rate of false positive interpretations deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors gesture patterns, device responses, and contextual changes to adjust recognition thresholds dynamically. When false positives are detected, the system learns from these errors and adjusts its sensitivity, allowing it to maintain high detection sensitivity while reducing false positives through adaptive threshold adjustment based on accumulated experience and contextual awareness.
Solution Approach 2:
The gesture recognition threshold is not fixed but dynamic, changing based on contextual factors such as current device state, environmental conditions, and user behavior patterns. This dynamic adjustment allows the system to be highly sensitive when context clearly indicates device control intent, while being more conservative when context is ambiguous, thereby resolving the contradiction between sensitivity and false positive rate.
3Measurement precision
If context analysis is performed to accurately determine gesture intent, then gesture interpretation accuracy is improved, but system complexity and processing requirements deteriorate
Solution Approach 1:
The patent segments the context analysis into multiple independent components: device state monitoring, environmental sensing, user behavior tracking, and gesture pattern recognition. Each component operates semi-independently and contributes specific information to the overall gesture interpretation. This segmentation reduces system complexity by breaking down the complex analysis task into manageable, modular components that can be processed separately and combined.
Data Source
AI summary
Upon detection of a gesture, a current context of an environment in which the gesture is performed may be determined. The current context may be used to interpret the gesture to determine which of potentially a plurality of devices are to be controlled by the gesture and whether the gesture is configured to control the determined device(s) in the current context. The current context may also be used to determine whether to adjust a threshold for determining whether the gesture is intended as a control command. An aspect of the detected gesture may be compared to the threshold to determine whether the gesture is intended as a control command. If the gesture is intended as a control command, the determined device(s) may be controlled accordingly.