Smart TV Notification Routing via User Presence Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication devices lack the ability to efficiently integrate smart TV functionality with other devices to deliver customized content and notifications based on user preferences, leading to missed media programming and suboptimal user experiences.
Innovation Solution
Implementing a method that uses smart TVs to detect user presence through microphones and cameras for voice and face recognition, and employing neural network models to analyze user profiles and viewing habits to automatically select and notify users of upcoming media programming, adjusting settings like volume and brightness accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless communication devices integrate smart TV functionality with multiple devices, then user experience and content delivery are improved, but device complexity and system integration requirements increase
Solution Approach 1:
The system is divided into independent functional modules: notification generation module in the electronic device, detection module in identified devices (microphone, camera), selection module for choosing the optimal device, and notification delivery module. Each module operates independently but coordinates through defined interfaces, allowing complex functionality to be built from simpler components.
Solution Approach 2:
The electronic device serves multiple functions: it generates notifications, selects appropriate delivery devices based on user context, and coordinates the detection and delivery process. The identified devices also serve dual purposes by both detecting user presence and delivering notifications, reducing the need for dedicated separate components.
2Measurement precision
If the system uses multiple devices with microphones and cameras for detection, then notification delivery accuracy is improved, but the number of required devices and system resources increase
Solution Approach 1:
The electronic device acts as an intermediary that coordinates between multiple identified devices (with microphones and cameras) and the notification delivery process. It receives detection results from multiple devices, processes the information centrally, and determines which device should deliver the notification, avoiding the need for each device to independently make complex decisions.
Solution Approach 2:
The system identifies multiple devices with detection capabilities (microphones and cameras) but only activates and uses the minimum necessary subset for each specific notification event. The selection process determines which single device (or few devices) should actually deliver the notification based on current user presence detection, avoiding continuous full-system activation.
3Productivity
If the system automatically selects devices based on detected signals, then notification routing efficiency is improved, but processing time and computational requirements increase
Solution Approach 1:
The system pre-identifies devices that have the necessary detection capabilities (microphones and cameras) before user presence detection is needed. This preliminary device identification and capability assessment eliminates the need for real-time device scanning and capability checking during the notification delivery process, reducing latency.
Solution Approach 2:
The system implements a feedback loop where detection results from microphones and cameras are continuously monitored, and the selection of the notification delivery device is dynamically adjusted based on real-time user presence information. This allows the system to make rapid, context-aware decisions without exhaustive processing.
Data Source
AI summary
This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media for intelligent routing of notifications related to media programming. In one aspect, a smart television (TV) can be implemented to track a user's TV watching behavior, and anticipate programming based on that behavior. In some other aspects, the smart TV can be implemented to detect a user's presence, and based on that detection, can automatically change the TV channel to media programming analyzed to be desirable to the user. In some further aspects, the smart TV can be implemented to transmit notification instructions to electronic devices within a network in an attempt to alert the user to upcoming media programming. Additionally, the smart TV can be implemented to transmit detection instructions to the electronic devices within the network, whereby the electronic devices attempt to detect a user's presence through voice or facial recognition.