Adaptive Infant Feeding Ecosystem
Legal Citation
Summary of the Inventive Concept
A next-generation infant feeding system that leverages machine learning, wearable devices, and real-time data analytics to provide personalized nutrition and adaptive feeding schedules for infants.
Background and Problem Solved
The original infant feeding system patent focused on training caregivers through smart feeding bottles and databases. However, this system had limitations in terms of real-time adaptability and personalized nutrition. The new inventive concept addresses these limitations by introducing a wearable device, neural network-based algorithms, and cloud-based analytics to provide a more comprehensive and responsive infant feeding ecosystem.
Detailed Description of the Inventive Concept
The adaptive infant feeding ecosystem consists of a smart bottle, a wearable device, and a cloud-based platform. The smart bottle detects and responds to an infant's feeding patterns, while the wearable device monitors the infant's feeding habits. The cloud-based platform uses machine learning algorithms to analyze the data and generate customized nutrition recommendations, adaptive feeding schedules, and real-time analytics for caregivers. The system can also detect infant feeding disorders and provide alerts and recommendations for caregivers.
Novelty and Inventive Step
The new inventive concept introduces a wearable device, neural network-based algorithms, and cloud-based analytics, which are not present in the original patent. These components enable real-time adaptability, personalized nutrition, and advanced data analytics, making the new inventive concept a significant improvement over the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include using different types of wearable devices, such as smart pacifiers or infant clothing with integrated sensors. Variations could also include integrating the system with existing healthcare infrastructure, such as electronic health records, or using different machine learning algorithms to analyze the data.
Potential Commercial Applications and Market
The adaptive infant feeding ecosystem has significant commercial potential in the healthcare and baby care industries. It could be marketed as a premium product for parents seeking advanced infant nutrition and care solutions. The system could also be integrated into healthcare services, such as pediatric clinics or hospitals, to provide a more comprehensive infant care solution.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61J9/02 |
| A | A61 | A61J9/06 |
| A | A61 | A61J2200/74 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Infant Care Technology and Medical Device Design, specifically focusing on smart feeding systems with sensor integration and data analytics for pediatric care
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with expertise in sensor technologies, machine learning applications in healthcare, and infant nutrition monitoring systems, possessing knowledge of embedded systems, data analytics, and pediatric care technologies
Obviousness Rationale
A person of ordinary skill would recognize that the source patent's smart feeding bottle framework naturally extends to more comprehensive monitoring and adaptive systems using established machine learning and sensor integration techniques. The PTD's additions represent predictable technological improvements that leverage known sensor and data processing technologies to enhance infant feeding tracking. The core technological problem of monitoring infant nutrition remains consistent, with the PTD offering incremental yet obvious technological extensions.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,507 |
|---|---|
| Title | Infant feeding system |
| Assignee(s) | Koninklijke Philips N.V. |