Adaptive Power Management for Wearable Devices
Legal Citation
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.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Wearable device technology, specifically power management systems and sensor-based health monitoring devices, requiring expertise in electrical engineering, computer science, and biomedical sensor technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with a bachelor's or master's degree in electrical engineering or computer science, familiar with sensor integration, machine learning techniques, and power optimization strategies for portable electronic devices
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating machine learning and adaptive power management techniques into wearable devices is a natural progression from existing sensor-based health monitoring systems. The source patent's framework of activity and physiological sensing provides a clear foundation for implementing more sophisticated power optimization strategies. The proposed variations represent predictable extensions of known techniques in sensor-based device management.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,337 |
|---|---|
| Title | Power management for wearable devices |
| Assignee(s) | Tula Health Inc |