Personalized Scent Delivery System for Appetite Control
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Solution Overview
Problem
Existing methods for influencing appetite using scents are ineffective due to individual variability in scent responses and lack of personalized approaches, as well as the challenge of optimizing scent delivery schedules to manage food cravings effectively.
Innovation Solution
A system and method for identifying and delivering a sequence of scents tailored to an individual's specific appetite needs, involving scent testing, data storage, and schedule generation based on response measurements to suppress or enhance appetite, using a processor-controlled scent delivery apparatus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed scent sequence is used to influence appetite, then the device complexity is reduced, but the effectiveness decreases due to individual variability in scent responses
Solution Approach 1:
The patent implements dynamic adaptation of scent sequences based on individual user responses. The system adjusts the type, order, and timing of scents delivered according to real-time feedback from the user's appetite responses, transforming a static fixed sequence into a dynamic personalized protocol that adapts to individual variability.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to scents are measured and used to modify subsequent scent deliveries. This closed-loop feedback system allows the apparatus to learn from individual responses and optimize the scent sequence for each user, thereby improving effectiveness without requiring overly complex manual customization.
2Reliability
If personalized scent sequences are developed through extensive testing, then the appetite influence effectiveness is improved, but the time required for setup and calibration increases
Solution Approach 1:
The patent performs preliminary scent testing and response measurement during an initial calibration phase to establish personalized scent profiles before actual use. By conducting this customization work in advance, the system creates optimized scent sequences that are ready for immediate deployment, reducing the time burden during ongoing appetite management.
Solution Approach 2:
The system efficiently optimizes scent delivery parameters (such as concentration, duration, and sequencing) through systematic variation during the testing phase. By methodically adjusting these parameters and measuring responses, the apparatus quickly identifies effective combinations without requiring exhaustive testing of all possible variations.
3Productivity
If the scent delivery schedule is optimized based on individual responses, then the productivity of appetite management is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent implements self-service functionality where the system automatically generates optimized scent delivery schedules based on stored response data without requiring manual intervention. The apparatus autonomously processes individual response patterns, identifies effective scent sequences, and creates personalized delivery schedules, thereby improving productivity while keeping the user interface simple.
Solution Approach 2:
The system creates simplified representations or models of individual scent response patterns that can be efficiently processed. By developing predictive models or lookup tables from testing data, the apparatus能够快速 generate optimized schedules without requiring complex real-time calculations, thus balancing productivity improvement with manageable system complexity.
Data Source
AI summary
A plurality of scents that produce a particular effect on an individual's appetite are identified. The plurality of scents are delivered to produce the particular effect on the individual's appetite. The particular effect may include one of suppression of the individual's appetite and enhancement of the individual's appetite. Identifying a plurality of scents that produce a particular effect on an individual's appetite may include delivering a second plurality of scents to the individual, detecting a response of the individual to each respective one of the second plurality of scents, and identifying the plurality of scents that produce the particular effect on the individual's appetite based on the responses detected. A schedule for delivery of scents may be generated based on data relating to the individual's responses, and the plurality of scents may be delivered in accordance with the schedule.