Laughter Detection for Donation Amount Determination
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Solution Overview
Problem
Conventional technologies do not consider audience laughter when determining donation amounts, failing to leverage laughter as a trigger for donations.
Innovation Solution
A system that includes video distribution, laughter detection based on emotional information, and a mechanism to determine donation amounts based on laughter detection, which can be transmitted to multiple terminals and analyzed for collective laughter rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional donation services are provided without considering audience laughter, then the donation system is simple and easy to implement, but the system fails to capture and leverage laughter as a trigger for donations, reducing effectiveness and engagement
Solution Approach 1:
The patent combines laughter detection functionality with the video distribution system by integrating emotional information acquisition from terminal devices into the donation determination process. The laughter detection means processes emotional data from multiple terminals simultaneously, merging audience reaction analysis with donation calculation to create a unified system that enhances donation effectiveness without requiring entirely separate infrastructure.
Solution Approach 2:
The terminal device serves multiple functions: it distributes videos to viewers, acquires emotional information including laughter detection, and transmits this data to the donation device. This multi-functional approach allows the same infrastructure to support both content delivery and emotional analysis, reducing overall system complexity while improving donation effectiveness through laughter-based triggers.
2Measurement precision
If laughter detection based on emotional information is implemented, then the system can determine donations according to audience laughter, but the system requires complex emotional information processing and analysis capabilities
Solution Approach 1:
The patent introduces terminal devices as intermediaries between the video distribution system and the donation determination system. These terminals acquire and pre-process emotional information including laughter detection locally, then transmit processed data to the donation device. This intermediary approach allows complex emotional analysis to be performed at the terminal level while the central donation system receives ready-to-use data, reducing its processing burden.
Solution Approach 2:
The system implements feedback loops where terminal devices continuously monitor emotional information from viewers and transmit this data to the donation device, which then determines donation amounts based on detected laughter. This real-time feedback mechanism enables precise laughter-based donation triggering while distributing processing tasks across the network, managing complexity through decentralized intelligence.
3Quantity of substance
If video distribution to multiple terminals is implemented, then the system can analyze collective laughter rates across multiple viewers, but the system requires coordination and data aggregation from multiple sources
Solution Approach 1:
The patent divides the viewer audience into individual terminal units, each independently detecting and processing emotional information from its local viewer. Each terminal acts as an independent detection node that analyzes laughter locally, then transmits results to the central donation device. This segmentation allows the system to scale to multiple viewers without requiring complex centralized processing, as each terminal handles its own data independently.
Solution Approach 2:
The donation device merges data from multiple terminal devices to calculate collective laughter rates and determine overall donation amounts. By combining independently processed data from segmented terminals, the system achieves comprehensive audience analysis while maintaining simplicity at each node, balancing the need to analyze multiple viewers with manageable data aggregation complexity.
Data Source
AI summary
A donation amount is determined according to laughter of a target person.A donation device 1 includes a video distribution means 10 transmitting a video V1 to be viewed by a target person to a terminal 2, a laughter detection means 14 detecting that the target person is laughing based on an emotional information indicating emotion of the target person acquired through the terminal, and a donation means 17 determining a donation amount of a valuable value to a predetermined donation destination in accordance with a laughter detected by the laughter detection means.