Autonomously Mobile Voice-Controlled Device User Presence Detection
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Solution Overview
Problem
Existing communication systems struggle to efficiently establish and manage communication sessions with autonomously mobile devices, particularly in environments where user presence and location need to be dynamically determined and tracked.
Innovation Solution
The system employs autonomously mobile voice-controlled devices equipped with sensors and AI-powered processing to detect user presence and identity through audio and visual data, and uses server-side components to manage communication sessions and maintain user observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech recognition and natural language understanding processing techniques are used to enable voice-based control, then human-computer interaction capability is improved, but system complexity increases
Solution Approach 1:
The system divides speech processing into distinct modules: speech recognition component that converts audio to text, and natural language understanding component that interprets intent. This segmentation allows each component to specialize and reduces overall system complexity by creating manageable, independent processing stages.
Solution Approach 2:
The patent introduces text as an intermediary representation between speech input and command execution. Speech is first transformed into text data, which then serves as the medium for natural language understanding processing. This intermediary layer simplifies the overall processing architecture by decoupling audio processing from semantic interpretation.
2Measurement precision
If autonomously mobile devices with sensors and AI processing are deployed to detect user presence, then user tracking capability is improved, but device complexity and energy consumption increase
Solution Approach 1:
The system combines multiple sensor types (audio sensors for speech detection, visual sensors for user presence) into a single autonomously mobile device. This merging allows the device to perform comprehensive environmental awareness and user detection using integrated sensor arrays, improving measurement precision while managing complexity through unified device architecture.
Solution Approach 2:
The autonomously mobile device performs self-directed user detection and tracking using its own sensor arrays and AI processing capabilities. The device independently determines user presence, identity, and location without requiring external assistance, enabling precise measurement while maintaining operational autonomy.
3Reliability
If server-side components are used to manage communication sessions and maintain user observation, then communication reliability is improved, but system complexity increases
Solution Approach 1:
The patent introduces server-side components as intermediaries that manage communication sessions between autonomously mobile devices. The server acts as a central coordinator that handles session establishment, maintenance, and termination, improving communication reliability by providing centralized control and state management across the distributed system.
Solution Approach 2:
The server-side communication manager performs multiple functions: session establishment, user presence verification, device coordination, and communication routing. This multi-functional approach improves reliability by consolidating critical communication management tasks into a single universal system component.
Data Source
AI summary
A system and method establishes a communication connection between a first device of a first user and a second device of a second user. Request data corresponding to a request to establish a communication connection with a second user is received, and a user profile associated with the second user is determined. One or more sensors of the second device receive input data corresponding to the environment of the second device, and an identity of the second user is determined based thereon. The communication connection is established and, based on the identity, the second device tracks movement of the second user in the environment.