Event-Triggered Hands-Free Media Playback Control
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Solution Overview
Problem
Existing devices lack effective hands-free interaction capabilities, particularly when media playback is interrupted by events like incoming calls or messages, requiring users to manually interact with the device to resume playback or respond to events, which can be distracting and inconvenient, especially in situations where the device is out of reach.
Innovation Solution
Implementing a system that detects events during media playback, outputs audible indications, activates a custom speech recognition engine for specific commands, and allows timed recognition of audio inputs to execute commands without user intervention, enabling hands-free interaction through speech commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device continuously listens for speech commands during media playback, then hands-free interaction capability is improved, but background noise filtering complexity and energy consumption increase
Solution Approach 1:
The system activates the speech recognition engine periodically based on events rather than continuously. When an event occurs (media playback starts, is interrupted, or pauses), the system activates speech recognition for a predetermined time period, then deactivates it. This event-driven periodic activation reduces continuous listening requirements while maintaining hands-free interaction capability.
Solution Approach 2:
The system automatically activates speech recognition based on detected events without requiring user initiation. The event detection mechanism triggers the speech recognition engine automatically, and the system manages the activation/deactivation cycle autonomously, reducing the burden on users to manually control the feature.
2Measurement precision
If the device activates speech recognition continuously, then command recognition accuracy is improved, but energy consumption increases
Solution Approach 1:
The speech recognition engine is activated periodically based on events rather than running continuously. The system activates the engine when events occur and deactivates it after a predetermined time period, significantly reducing energy consumption while maintaining accurate command recognition when needed.
Solution Approach 2:
The system activates speech recognition in advance of when commands might be needed, based on predictive event detection. When an event occurs (such as media playback interruption), the system proactively activates speech recognition before the user needs to issue commands, ensuring readiness while limiting activation duration to reduce energy use.
3Measurement precision
If the device requires manual interaction to resume playback after interruption, then playback control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically manages playback resumption based on detected user intent through speech commands. When media playback is interrupted by an event, the system activates speech recognition and can automatically resume playback when it detects appropriate commands, eliminating the need for manual user interaction to restore playback.
Solution Approach 2:
The system provides feedback to users about the playback state and responds to speech commands. When playback is interrupted, the system monitors for resume commands and executes them automatically, creating a feedback loop that maintains precise playback control while improving ease of operation through automated response to user intent.
4Ease of operation
If the device listens for entire duration of media playback, then hands-free command detection is improved, but background noise from device itself increases
Solution Approach 1:
The speech recognition engine is activated periodically based on events rather than continuously throughout media playback. This reduces the time the device spends listening, thereby reducing the duration of background noise generation, while still enabling hands-free command detection when events occur.
Data Source
AI summary
A system and method are provided for hands-free operation of a device based on a context of an event. An example system configured to practice the method can detect an event during playback of media content to a user, and optionally output a first audible indication of the event. Based on the event, the system can activate a speech recognition application using a custom speech recognition grammar for recognizing a set of speech commands associated with the event. Then the system can optionally output a second audible indication of readiness to process speech in association with the event. The system can monitor, for a predetermined duration of time after the second audible indication, audio input received via the microphone to recognize a command via the speech recognition application, and execute the command.