In-Vehicle Virtual Assistant Using Multi-Sensor Proactive Interaction
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Solution Overview
Problem
Conventional virtual personal assistants are passive and lack access to sensor data, limiting their functionality and ability to provide proactive insights and information to users.
Innovation Solution
A two-way virtual personal assistant system that continuously monitors sensor data from various sources, enabling proactive notifications and generating accurate outputs based on analyzed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional virtual personal assistant is used, then device simplicity is maintained, but functionality and proactive capability are limited
Solution Approach 1:
The patent combines multiple sensors (microphones, cameras, accelerometers, gyroscopes, barometers, magnetometers, GPS) and their data processing capabilities into a unified virtual personal assistant system. This merging enables the system to access diverse data sources including audio, video, motion, environmental, and location information, thereby significantly enhancing functionality and proactive notification capabilities while managing system complexity through integrated architecture.
2Ease of operation
If passive virtual personal assistant is used, then ease of operation is maintained, but user engagement and information provision are reduced
Solution Approach 1:
The system continuously monitors and analyzes sensor data in the background before user initiation, proactively identifying conditions that warrant notification. By performing preliminary analysis of audio, video, motion, environmental, and location data, the system can alert users to relevant events, safety concerns, or information needs without requiring them to actively query the system, thus maintaining ease of operation while significantly reducing information loss.
3Measurement precision
If access to sensor data is limited, then system complexity is reduced, but measurement precision and insight capability are diminished
Solution Approach 1:
The virtual personal assistant system is designed with multi-functionality to process and analyze diverse sensor data types including audio from microphones, visual data from cameras, motion data from accelerometers and gyroscopes, environmental data from barometers and magnetometers, and location data from GPS. This universal processing capability enables precise measurement and analysis across multiple domains while managing complexity through a unified data processing architecture that handles various sensor inputs through common analysis pipelines.
Data Source
AI summary
Embodiments include a computer-implemented method for interacting with a user. The method comprises utilizing a processor associated with a virtual personal assistance system. The processor is configured to perform the steps of obtaining first sensor data from a first sensor included in a plurality of sensors. The first sensor data comprises audio speech input. The steps further comprise analyzing the audio speech input using a first deep learning model to generate an intended meaning, selecting second sensor data to obtain based on the intended meaning, obtaining the second sensor data from a second sensor included in the plurality of sensors, analyzing the second sensor data and the intended meaning to generate a prediction value, applying a second deep learning model to the prediction value to generate a text segment, and converting the text segment into a natural language audio output; and outputting the natural language audio output to the user.