Advanced Foot Sensor Signal Processing Technology

Publication ID: 24-11857029_0008_PTD

Published: October 27, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Advanced Foot Sensor Signal Processing Technology,” Published Technical Disclosure No. 24-11857029_0008_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857029_0008_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 terms of data storage, analysis, and customization. The new invention addresses these limitations by incorporating advanced technologies to provide a more powerful and holistic system.

Novelty and Inventive Step

The new claims introduce novel combinations of foot presence signal processing with AI, IoT, blockchain, and machine learning, providing a non-obvious and innovative solution for athletic performance monitoring and optimization.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the system with virtual or augmented reality platforms for immersive training experiences, or using different types of sensors or data analysis techniques. Variations may include applying the system to different sports or activities, or developing customized footwear configurations based on user behavior and performance data.

Potential Commercial Applications and Market

The invention has significant commercial potential in the sports technology and wearable device markets, with potential applications in professional sports, fitness, and healthcare industries.

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

Athletic footwear sensor systems and performance monitoring technologies, involving biomechanical sensing, signal processing, and wearable computing with expertise in electrical engineering, sensor design, and data analytics

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degree in electrical/mechanical engineering, experience in sensor integration, signal processing algorithms, and understanding of wearable technology design principles

Obviousness Rationale

A PHOSITA would recognize that extending the source patent's foot presence sensing technology into AI-driven, IoT-enabled performance monitoring represents a predictable technological progression using known integration techniques. The fundamental capacitive sensing methodology remains consistent, with additional data processing and communication layers representing standard engineering design choices. The variations demonstrate incremental technological improvements rather than non-obvious innovations.

Obvious Combinations & Variations

Source Patent Element

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

PTD Variation

Integrating foot presence sensor with blockchain data storage and AI analytics

Obviousness Reasoning

Applying distributed data storage and machine learning to sensor data represents a known technique for enhancing performance tracking, with predictable results in athletic monitoring systems

Source Patent Element

Processor circuit for detecting foot step and lift events

PTD Variation

Machine learning algorithms for predicting athletic fatigue based on sensor signals

Obviousness Reasoning

Extending signal processing to predictive analytics is a standard approach in sensor-based monitoring, utilizing well-established machine learning techniques

Source Patent Element

Sensor system configured to determine stride length using multiple sensors

PTD Variation

IoT-enabled communication module transmitting biometric data to mobile platforms

Obviousness Reasoning

Implementing wireless data transmission for sensor-derived biomechanical information represents a straightforward technological extension with predictable integration outcomes

Source Patent Element

Footwear-integrated sensor system for movement tracking

PTD Variation

Modular automated lacing platform combined with performance monitoring sensors

Obviousness Reasoning

Combining sensor systems with adaptive footwear technologies represents a logical design evolution using known mechanical and electrical integration techniques

Source Patent Element

Accelerometer-based movement detection in footwear

PTD Variation

Virtual and augmented reality training platform integration with foot sensor data

Obviousness Reasoning

Extending sensor data into immersive training environments represents a predictable technological progression in performance monitoring systems

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857029 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive merit. The incremental technological extensions represent standard engineering design choices that would be apparent to a skilled practitioner, thereby rendering the proposed claims unpatentable under 35 U.S.C. Section 103 obviousness standards.

Original Patent Information

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