SIGNAL PROCESSING APPARATUS AND METHOD

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SIGNAL PROCESSING APPARATUS AND METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18576473 titled 'SIGNAL PROCESSING APPARATUS AND METHOD

The present technology involves a signal processing apparatus and method to enhance the robustness of emotion estimation against noise.

Signal processing apparatus extracts physiological measures from biological signals to determine emotion features.
Outputs time-series data on emotion prediction labels based on a discriminative model.
Calculates emotion estimation results by weighted summation of prediction labels with reliability measures.
Can be utilized in emotion estimation processing systems.

Potential Applications: - Healthcare: Monitoring and managing emotional well-being. - Wearable Technology: Emotion tracking for personalized experiences. - Market Research: Understanding consumer emotions for product development.

Problems Solved: - Improved accuracy in emotion estimation despite noise interference. - Enhanced reliability of emotion prediction labels.

Benefits: - Better understanding of emotional states for tailored interventions. - Increased efficiency in emotion recognition tasks.

Commercial Applications: Title: "Enhanced Emotion Estimation Technology for Personalized Experiences" This technology can be applied in various industries such as healthcare, wearable technology, and market research to improve emotional well-being monitoring, personalized experiences, and consumer insights.

Questions about Emotion Estimation Technology: 1. How does this technology improve the accuracy of emotion estimation? - This technology enhances accuracy by extracting physiological measures and considering prediction label reliability in the estimation process. 2. What are the potential implications of this technology in market research? - This technology can provide valuable insights into consumer emotions, leading to more targeted marketing strategies and product development.

Original Abstract Submitted

The present technology relates to a signal processing apparatus and a method that enable improvement in the robustness of emotion estimation against noise. A signal processing apparatus extracts, on the basis of a measured biological signal, a physiological measure contributing to an emotion as a feature amount, outputs, with respect to time-series data about the feature amount, time-series data about a prediction label of an emotion status by a discriminative model built in advance, and outputs an emotion estimation result on the basis of a result of performing weighted summation of the prediction label with prediction label reliability that is reliability of the prediction label. The present technology can be applied to an emotion estimation processing system.