Mobile Device Smart Gesture Video Feed Selection
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Solution Overview
Problem
Existing content delivery systems for live events, such as sports or concerts, require end users to actively select video or audio channels, lacking an environment for group interaction and shared experiences among spectators.
Innovation Solution
A system that automatically buffers and displays video feeds based on the viewing behaviors of other end users, using mobile devices to acquire and push real-time video and audio information, allowing for interactive and shared experiences through bi-directional communication and smart gestures, with video feeds selected based on predicted use and behavioral analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If end users actively select video or audio channels, then they can choose their preferred viewing content, but the system complexity increases and user engagement is required for basic operation
Solution Approach 1:
The system automatically determines and delivers video feeds based on detected gestures and viewing behaviors, eliminating the need for users to manually select channels. The mobile device autonomously processes gestures, queries available video feeds, and presents relevant content without requiring active user intervention in the selection process.
Solution Approach 2:
The system continuously monitors user gestures and viewing behaviors, uses this feedback to determine preferred video feeds, and dynamically adjusts content delivery accordingly. This closed-loop approach allows the system to adapt to user preferences in real-time without requiring explicit channel selection.
2Adaptability or versatility
If the system provides individual channel selection, then users can personalize their viewing experience, but group interaction and shared experiences are not enabled
Solution Approach 1:
The system merges individual user data with group context to deliver personalized content while enabling shared experiences. By detecting gestures and viewing behaviors at the group level, the system identifies common interests and coordinates content delivery across multiple devices, allowing both individual customization and group interaction to coexist.
Solution Approach 2:
The content delivery system is enhanced to perform multiple functions: it provides individualized channel selection based on user gestures, enables group coordination through shared viewing experiences, and facilitates social interaction among spectators. This multi-functional approach allows a single system to address both individual and group needs.
3Ease of operation
If automatic video feed selection is implemented, then ease of operation improves, but the system requires sophisticated behavioral analysis and prediction capabilities
Solution Approach 1:
The system replaces manual mechanical channel selection with automated gesture recognition and behavioral analysis. Instead of requiring users to physically navigate channel menus, the system uses mobile device sensors to detect gestures and automatically translates these into video feed selections through computational analysis and prediction algorithms.
Data Source
AI summary
Methods for automatically buffering and displaying video feeds associated with a live event are described. The video feeds displayed on the mobile device may comprise live video feeds or replays associated with the live event. A replay may comprise a playback of one or more buffered video feeds in a particular sequence and at a particular playback rate. The particular sequence may be determined based on the viewing behavior of the end user of the mobile device and/or the viewing behaviors of one or more other end users using other mobile devices at the live event. In some cases, the replay may comprise a shared replay in which a group of end users attending the live event may interact with each other while sharing a common replay.