Adaptive Power Management for Wearable Devices

Publication ID: 24-11857337_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Power Management for Wearable Devices,” Published Technical Disclosure No. 24-11857337_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857337_0005_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. 11,857,337.

Summary of the Inventive Concept

An advanced power management system for wearable devices, leveraging AI, machine learning, and kinetic energy harvesting to optimize power consumption, enhance user experience, and provide sustainable wearable technology.

Background and Problem Solved

The original patent, 'Power management for wearable devices', addressed the need for efficient power management in wearable devices. However, it relied on traditional processing devices and sensors, limiting its ability to adapt to changing user behavior and environmental conditions. The new inventive concept addresses this limitation by introducing advanced machine learning algorithms, neural networks, and kinetic energy harvesting to optimize power consumption and enhance user experience.

Detailed Description of the Inventive Concept

The new inventive concept comprises a wearable device with an integrated artificial intelligence module that learns and adapts to user behavior and environmental conditions. The AI module dynamically adjusts power consumption based on real-time physiological and environmental data, ensuring optimal performance and prolonging battery life. Additionally, the system utilizes advanced machine learning algorithms to optimize energy harvesting and reduce energy consumption, enabling sustainable and eco-friendly wearable technology. The wearable device features a self-sustaining power source that leverages kinetic energy harvesting and advanced nanotechnology to provide perpetual power and eliminate the need for battery recharging.

Novelty and Inventive Step

The new inventive concept's use of advanced machine learning algorithms, neural networks, and kinetic energy harvesting to optimize power consumption and enhance user experience is novel and non-obvious compared to the original patent. The integration of AI and machine learning enables the wearable device to adapt to changing user behavior and environmental conditions, providing a significant improvement over traditional power management systems.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include wearable devices with modular AI modules, enabling users to upgrade or replace the AI module as needed. Another variation could involve the use of different machine learning algorithms or neural network architectures to optimize power consumption and enhance user experience.

Potential Commercial Applications and Market

The new inventive concept has significant commercial potential in the wearable technology industry, particularly in the fields of fitness tracking, health monitoring, and smartwatches. The advanced power management system could also be applied to other battery-powered devices, such as smartphones and laptops, providing a sustainable and eco-friendly solution for the broader technology market.

Original Patent Information

Patent NumberUS 11,857,337
TitlePower management for wearable devices
Assignee(s)Tula Health Inc