Method for controlling an espresso coffee machine
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Solution Overview
Problem
Existing espresso coffee machine control methods require users to manually log in to their profiles, which can be time-consuming, especially in multi-user environments where maintaining a connection is unnecessary.
Innovation Solution
A method using electrocardiographic signals from passive electrodes placed on the right and left sides of the body to identify users and generate personalized control information, eliminating the need for manual login by associating unique electrocardiographic signatures with user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual login is required to access personalized commands, then user profile preferences can be accessed, but the time required for user interaction increases
Solution Approach 1:
The patent replaces the mechanical interaction of manual login (button pressing, typing) with a physiological measurement system. Electrodes capture the electrocardiographic signal, which is then processed to identify the user automatically, eliminating the need for manual authentication steps while maintaining secure profile access.
Solution Approach 2:
The system performs automatic user identification without requiring active participation from the user. The electrocardiographic signal is captured passively through electrodes, and the identification process occurs automatically through signal processing and comparison with stored reference signals, allowing the system to identify itself to the user rather than requiring the user to identify themselves.
2Ease of operation
If biometric recognition systems are implemented for automatic user identification, then manual login is eliminated, but system complexity increases
Solution Approach 1:
The patent uses a simple, inexpensive electrocardiographic measurement system rather than complex biometric technologies like DNA identification or iris scanning. The ECG signal serves as a temporary, easily obtainable biometric marker that can be processed with relatively simple electronics and algorithms, providing a cost-effective alternative to sophisticated biometric systems.
3Adaptability or versatility
If multiple users share the espresso machine, then each user can access their preferences, but the identification process becomes more challenging
Solution Approach 1:
The patent places electrodes at specific, predetermined locations on the user's body (right and left sides relative to the sagittal plane) to capture the electrocardiographic signal. This localized measurement approach ensures consistent signal acquisition for each user, improving identification accuracy by standardizing the measurement points across different users while maintaining the ability to distinguish between them.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Simplifies user interaction and ensures rapid, reliable identification, limiting the probability of incorrect user recognition and offering only preferred coffee options, thus streamlining the control process.
Implementation Method 1
a step of acquiring an electrocardiographic signal between the first and the second electrode
Data Source
Figure 1
Figure 2
AI summary
Method for controlling an espresso coffee machine (3) comprising at least a first electrode (17) and a second electrode (17), the method comprising a step of bringing the first electrode (17) into contact with a predetermined location on the right side of a user's body, and the second electrode with a predetermined location on the left side of the user's body; a step of acquiring an electrocardiographic signal (21) between the first and second electrodes (17, 19); a step of selecting, from the acquired electrocardiographic signal (21), a particular unique identifier (43); a step of developing control information (11), the control information (11) being developed according to the user profile (29) associated with the selected unique identifier (43).