Published Technical Disclosure Archive

Acceleration-based Analytics for Industrial, Sports, and Wellness Applications

Publication ID: 24-11857350_0007_PTD
Published: October 28, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Acceleration-based Analytics for Industrial, Sports, and Wellness Applications,” Published Technical Disclosure No. 24-11857350_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857350_0007_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. 11,857,350.

Summary of the Inventive Concept

The present inventive concept leverages the core technology of the original patent to develop innovative solutions for athlete performance monitoring, exercise routine optimization, sleep quality tracking, injury prevention in industrial workplaces, and warehouse operation optimization.

Background and Problem Solved

The original patent addressed the need for a hypoglycemia alert function in glucose sensor systems. However, the acceleration data generated by the wearable sensor was limited to a single application. The new inventive concept expands the scope of the original technology to tackle diverse challenges in various industries, including sports, wellness, and industrial workplaces.

Detailed Description of the Inventive Concept

The inventive concept comprises a wearable sensor, a machine learning module, and a display device. The wearable sensor generates acceleration data corresponding to movement of an athlete, worker, or user. The machine learning module analyzes the acceleration data to identify patterns of fatigue, sleep quality, or injury risk. The display device presents the generated indicators, scores, or recommendations to the user, coach, or supervisor. This enables personalized exercise routines, optimized warehouse operations, and enhanced workplace safety.

Novelty and Inventive Step

The new claims introduce novel applications and use cases that were not considered in the original patent. The inventive concept's machine learning module and display device interface are designed to accommodate various industries and problems, making it a non-obvious and innovative extension of the original technology.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the wearable sensor with other devices, such as smartwatches or fitness trackers, or utilizing different machine learning algorithms to analyze the acceleration data. Variations may involve adapting the inventive concept for use in other industries, such as healthcare or transportation.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the sports, wellness, and industrial workplaces markets. It can be integrated into existing products or developed as standalone solutions, providing valuable insights and improvements to athletes, workers, and industries.

CPC Classifications

SectionClassGroup
A A61 A61B5/746
A A61 A61B5/0002
A A61 A61B5/0004
A A61 A61B5/01
A A61 A61B5/1112
A A61 A61B5/1118
A A61 A61B5/145
A A61 A61B5/1459
A A61 A61B5/14532
A A61 A61B5/7282
A A61 A61B5/742
A A61 A61B5/7405
A A61 A61B5/7455
A A61 A61B5/0533
A A61 A61B5/14503
A A61 A61B5/6898
A A61 A61B5/7203
A A61 A61B2562/0219

Field of Art

Biomedical sensing technologies, wearable health monitoring systems, and motion-based data analytics with expertise in sensor integration, machine learning, and physiological parameter tracking

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced engineering or computer science background, familiar with sensor technologies, data processing algorithms, and interdisciplinary applications of motion sensing across healthcare, sports, and industrial domains

Obviousness Rationale

A PHOSITA would recognize that the core technological framework of acceleration-based sensing disclosed in the source patent naturally extends to multiple application domains by applying standard machine learning and data analysis techniques. The fundamental sensor architecture and data processing methodology remain consistent across different use cases, with only contextual modifications. The variations represent predictable implementations of a generalized sensing and analytics platform.

Obvious Combinations & Variations

Source Patent Element
Analyte sensor system with accelerometer generating movement data
PTD Variation
Extending accelerometer data analysis to athlete performance monitoring and fatigue tracking
Obviousness Reasoning
Applying machine learning to motion data represents a known technique for extracting performance insights, with predictable results in quantifying human movement patterns
Source Patent Element
Wearable transceiver with wireless communication interface
PTD Variation
Integrating display device with machine learning module for generating personalized recommendations
Obviousness Reasoning
Combining sensor data transmission with intelligent analytics is a standard design approach in ubiquitous computing, representing an obvious technological progression
Source Patent Element
Generating alerts based on sensor and acceleration data
PTD Variation
Creating injury risk indicators and workplace safety monitoring systems
Obviousness Reasoning
Adapting sensor alert mechanisms to different contextual environments is a straightforward engineering design choice with predictable implementation strategies
Source Patent Element
Display device configured to present analyte concentration information
PTD Variation
Expanding display functionality to present sleep quality scores and exercise recommendations
Obviousness Reasoning
Modifying user interface to present derived analytical insights represents a routine software engineering adaptation with expected technological outcomes
Source Patent Element
Sensor system for generating movement-correlated data
PTD Variation
Warehouse operations optimization through movement pattern analysis
Obviousness Reasoning
Applying sensor data collection and analysis techniques to industrial efficiency tracking represents a logical extension of motion sensing technologies
35 U.S.C. § 103 Summary: Based on US Patent 11857350's disclosure of acceleration-based sensing technologies, the present publication demonstrates that the claimed variations represent obvious modifications to existing sensor systems, rendering subsequent patent claims involving similar motion-based analytics and interdisciplinary sensing applications unpatentable under standard obviousness criteria.

Original Patent Information

Patent NumberUS 11,857,350
TitleAnalyte concentration alert function for analyte sensor system
Assignee(s)Senseonics, Incorporated