Emotional State Monitoring and Personalized Wellness

Publication ID: 24-11857336_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Emotional State Monitoring and Personalized Wellness,” Published Technical Disclosure No. 24-11857336_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857336_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,336.

Summary of the Inventive Concept

A next-generation wearable device and AI-driven system that detects and responds to users' emotional states, providing personalized recommendations and real-time feedback for improved emotional well-being.

Background and Problem Solved

The original patent addressed the limitation of accurately and timely detecting arousal events in users. However, it did not provide a comprehensive solution for managing emotional states. This new inventive concept builds upon the original patent's detection capabilities and introduces AI-driven analysis and personalized feedback to empower users to better manage their emotional well-being.

Detailed Description of the Inventive Concept

The system comprises a wearable device equipped with electrodermal activity (EDA) sensors, which detect the user's physiological response to emotional stimuli. The detected data is transmitted to a neural network, which analyzes the patterns to predict the user's emotional state. The system then provides personalized recommendations for managing the emotional state, including stress management plans, real-time biofeedback, and emotional state reports. The wearable device can also include a biofeedback module, which utilizes EDA data to detect arousal responses and provides real-time feedback to the user.

Novelty and Inventive Step

The new inventive concept introduces the use of AI-driven analysis and personalized feedback, which is a significant departure from the original patent's detection-only approach. The integration of machine learning algorithms and neural networks enables the system to provide more accurate and personalized support for users' emotional well-being.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other physiological signals, such as heart rate or skin temperature, to detect emotional states. The system could also be integrated with other wearable devices or mobile applications to provide a more comprehensive wellness solution.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the wellness and healthcare industries, particularly in the areas of stress management, anxiety treatment, and emotional intelligence training. The system could be marketed as a premium feature in wearable devices or as a standalone mobile application.

Field of Art

Wearable biomedical monitoring technologies with a focus on physiological response tracking, neural signal processing, and personalized health analytics

Person of Ordinary Skill (PHOSITA) Profile

An engineer or researcher with expertise in biomedical sensors, signal processing, machine learning, and wearable device design, typically holding a master's or PhD in electrical engineering, computer science, or biomedical engineering

Obviousness Rationale

A PHOSITA would recognize that extending the source patent's arousal detection method to include AI-driven personalized recommendations is a predictable technological progression. The integration of machine learning with physiological sensor data represents a natural evolution of wearable health monitoring technologies. The core technical elements of sensor-based arousal detection remain consistent, with the primary innovation being the analytical approach to processing and responding to collected data.

Obvious Combinations & Variations

Source Patent Element
Wrist-worn wearable device with multiple sensors for detecting physiological arousal events
PTD Variation
Expanding sensor types to include electrodermal activity (EDA) sensors and integrating neural network analysis
Obviousness Reasoning
Adding alternative sensor modalities and machine learning analysis is a known technique for enhancing physiological monitoring systems, representing a predictable technological improvement
Source Patent Element
Detection of sympathetic nervous system responses using electrocardiography (ECG) data
PTD Variation
Utilizing EDA data and machine learning algorithms to predict and manage emotional states
Obviousness Reasoning
Applying advanced signal processing techniques to physiological data is a standard approach in biomedical engineering, with finite and predictable methods for extracting meaningful insights
Source Patent Element
Generating notifications based on detected physiological events
PTD Variation
Creating personalized stress management plans and real-time biofeedback mechanisms
Obviousness Reasoning
Developing context-aware, personalized health recommendations is an obvious extension of existing arousal detection technologies, representing a design choice within the predictable design space
Source Patent Element
Wearable device capable of transforming physiological sensor data
PTD Variation
Implementing neural network and deep learning models for advanced data interpretation
Obviousness Reasoning
Applying machine learning techniques to sensor data transformation is a well-established approach in signal processing, representing an incremental technological improvement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857336 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious. The published technical disclosure demonstrates that the integration of AI-driven analysis, personalized recommendations, and expanded sensor modalities represents a predictable technological progression within the field of wearable physiological monitoring systems.

Original Patent Information

Patent NumberUS 11,857,336
TitleDetection and response to arousal activations
Assignee(s)FITBIT, INC.