Advanced Foot Health Monitoring Sensor Technology

Publication ID: 24-11857029_0003_PTD

Published: October 27, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Advanced Foot Health Monitoring Sensor Technology,” Published Technical Disclosure No. 24-11857029_0003_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857029_0003_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. 11,857,029.

Background and Problem Solved

The original patent, 'Foot presence signal processing systems and methods', has limitations in providing real-time foot health monitoring, personalized fitness tracking, and immersive athletic training experiences. The new invention addresses these limitations by combining the patented invention with other distinct technologies.

Novelty and Inventive Step

The new claims introduce a synergistic combination of foot presence signal processing with AI, IoT, blockchain, and new materials, which is not obvious from the original patent. The integration of these distinct technologies creates a more powerful system for monitoring foot health, tracking activity, and enhancing athletic performance.

Alternative Embodiments and Variations

Alternative embodiments include integrating the foot presence signal processing system with other wearable devices, such as smartwatches or fitness trackers, or incorporating additional sensors to detect other biometric parameters. Variations of the invention could also include different types of footwear, such as shoes for specific sports or activities.

Potential Commercial Applications and Market

The invention has significant commercial potential in the sports, fitness, and healthcare industries. It can be used in various applications, including personalized coaching, athletic training, and injury prevention. The target market includes professional athletes, fitness enthusiasts, and individuals with foot health concerns.

CPC Classifications

Section	Class	Group
A	A43	A43C11/165
A	A43	A43B1/0054
A	A43	A43B3/0031
A	A43	A43B3/34
A	A43	A43B3/36
A	A43	A43B13/14
A	A43	A43B17/00
A	A43	A43C1/00
A	A43	A43C7/00
A	A43	A43C11/008
A	A61	A61B5/6807
G	G01	G01D5/12
G	G01	G01D5/24
G	G01	G01L1/12
G	G01	G01L1/14
G	G01	G01L1/142
G	G01	G01L1/144
G	G01	G01L5/0009
G	G01	G01L5/0014
G	G01	G01L5/0071
G	G01	G01L5/12
G	G01	G01L5/16
G	G01	G01L5/165
G	G01	G01L5/24
G	G05	G05B15/02
G	G05	G05B19/048
A	A43	A43B3/38
A	A43	A43C1/003
A	A43	A43C1/006
A	A43	A43C1/02
A	A43	A43C1/04
A	A43	A43C1/06
A	A43	A43C11/00
G	G01	G01D5/145
G	G01	G01D5/2405
G	G01	G01D5/34
G	G05	G05B2219/24015

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Footwear sensor systems and biomechanical monitoring technologies, encompassing wearable electronics, sensor integration, and human movement tracking with expertise in capacitive sensing, signal processing, and athletic performance measurement

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced engineering background, typically holding a master's degree in electrical engineering, mechanical engineering, or biomedical engineering, with specialized knowledge in sensor design, signal processing algorithms, and wearable technology development

Obviousness Rationale

A PHOSITA would recognize that the published technical disclosure represents predictable combinations of known technologies in footwear sensor systems, extending the source patent's capacitive foot presence detection through standard technological integration techniques. The variations represent incremental advancements using well-established interdisciplinary approaches to enhance sensor functionality. These modifications would be considered routine design choices within the domain of wearable biomechanical monitoring technologies.

Obvious Combinations & Variations

Source Patent Element

Capacitance-based foot presence sensor for detecting foot proximity and movement

PTD Variation

Integration of AI-powered foot pressure analysis system with machine learning algorithms for injury prediction

Obviousness Reasoning

Applying machine learning to sensor data is a predictable evolution in sensor technology, representing a known technique for extracting advanced insights from existing signal processing methods

Source Patent Element

Step detection and interval measurement using sensor signals

PTD Variation

IoT-based activity tracking with blockchain technology for secure fitness profile management

Obviousness Reasoning

Extending sensor data collection to distributed network storage is an obvious technological progression using standard communication and security protocols

Source Patent Element

Processor circuit for detecting sensor signal fluctuations

PTD Variation

Virtual reality training integration using real-time foot movement data capture

Obviousness Reasoning

Repurposing sensor signal data for immersive simulation environments represents a straightforward application of existing sensor technologies across interactive platforms

Source Patent Element

Accelerometer-based stride length determination

PTD Variation

Modular automated lacing platform with Bluetooth communication for performance feedback

Obviousness Reasoning

Combining sensor systems with wireless communication and adaptive mechanical systems is a predictable design optimization within wearable technology development

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857029 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious through standard technological integration techniques, rendering potential derivative patent claims anticipated and non-patentable under 35 U.S.C. Section 103 due to the predictable combination of known sensor technologies and computational methods.

Original Patent Information

Patent Number	US 11,857,029
Title	Foot presence signal processing systems and methods
Assignee(s)	NIKE, Inc.