Wearable Gesture Activation for AI Assistant Scene Capture
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Solution Overview
Problem
Existing wearable devices require physical inputs or invasive audio captures to initiate virtual assistants, leading to user frustration and a cumbersome experience due to the need for physical access and inaccurate detection.
Innovation Solution
Wearable devices allow seamless interaction with virtual assistants using in-air and surface-contact gestures to activate sensors and capture data, enabling intuitive control without physical engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical inputs or active audio capture are used to initiate virtual assistant, then the virtual assistant can be activated, but user frustration increases and ease of operation deteriorates due to requiring physical access and invasive capture
Solution Approach 1:
The patent replaces mechanical button presses and active audio capture with passive gesture recognition. The wearable device detects gestures through motion sensors and accelerometers, substituting mechanical input methods with motion-based detection. This allows users to initiate the virtual assistant through natural hand movements in the air, eliminating the need for physical contact with device buttons while maintaining reliable activation through multi-axis motion detection algorithms.
2Productivity
If physical button press is required to activate virtual assistant, then activation is reliable, but user experience becomes cumbersome and productivity decreases
Solution Approach 1:
The system performs preliminary gesture detection and interpretation before full virtual assistant activation. Motion sensors continuously monitor for gesture patterns, and when a recognized gesture is detected, the system pre-loads the virtual assistant interface and prepares sensor data capture. This preliminary action reduces the time from gesture initiation to assistant response, improving overall productivity by eliminating startup delays.
Solution Approach 2:
The patent implements continuous gesture monitoring and sensor data capture during the interaction. Instead of discrete on/off states, the system maintains continuous detection of hand movements and environmental sensors throughout the interaction, allowing for natural, uninterrupted control flow. This continuity eliminates pauses and re-activations, keeping the useful action flowing smoothly and improving productivity.
3Measurement precision
If active audio capture is used to detect trigger conditions, then virtual assistant can be activated, but accuracy decreases and user experience becomes invasive
Solution Approach 1:
The patent introduces gesture recognition as an intermediary between user intent and virtual assistant activation. Instead of directly capturing audio data, the system first detects hand gestures through motion sensors as an intermediate step. This intermediary gesture detection provides more precise measurement of user intent while avoiding the harmful effects of invasive audio capture, as gestures are visually observable and do not require continuous microphone activation.
Solution Approach 2:
The system replaces acoustic detection mechanisms with mechanical motion detection. Accelerometers and gyroscopes detect hand movement patterns, substituting the need for active audio capture. This substitution improves measurement precision by detecting deliberate gestures with high accuracy while eliminating the invasive nature of continuous audio recording, as motion sensors only activate when movement is detected.
Data Source
AI summary
One or more instructions executed by a wrist-wearable device and/or a head-wearable device is described herein. Instructions that, when executed by a wrist-wearable device and/or a head- wearable device worn by a user, cause the wrist-wearable device and/or the head-wearable device to perform or cause performance of one or more actions. The instructions further include capturing sensor data using sensors, initiating an assistant associated with the head-wearable device and/or wrist-wearable device. The instructions further include, in accordance with a determination that the hand gesture is no longer maintained, ceasing to capture sensor data via the sensors, and providing, by the assistant, a response to the user based on the sensor data. The response includes a characterization of a scene within the sensor data and a characterization of one or more objects within the sensor data.