EMI Signal Detection for Device Identification
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Solution Overview
Problem
Existing electronic devices face challenges in identifying other devices and detecting interactions due to limitations in decoding, encoding, and receiving signals, as well as interference in communication channels, which hinders device identification and context determination.
Innovation Solution
The use of electromagnetic interference (EMI) signals is employed to uniquely identify devices and determine user interactions by processing and analyzing EMI signals received from conductive objects, such as the human body, using electrodes that can couple directly or capacitively, and employing signal processing techniques like FFT, PCA, and machine learning for classification and context recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional signal encoding and decoding methods are used for device identification, then device communication can be established, but the system becomes limited by the need for both devices to support the same communication protocols and becomes vulnerable to noise and interference
Solution Approach 1:
The patent replaces traditional electromagnetic communication signals with acoustic signals for device identification and communication. The first device captures acoustic signals emitted by the second device using a microphone or acoustic sensor, converting acoustic energy to electrical signals for processing. This substitution allows device identification without requiring both devices to support complex wireless communication protocols like Bluetooth or Wi-Fi, thereby improving adaptability while reducing communication complexity requirements
Solution Approach 2:
The patent introduces an acoustic signal as an intermediary medium for device identification. Instead of direct electromagnetic communication between devices, the system uses acoustic signals that can be captured by the first device's microphone. This intermediary approach allows the first device to identify the second device through acoustic fingerprinting without requiring direct protocol compatibility, resolving the contradiction between versatility and complexity
2Reliability
If electromagnetic communication signals are used for device identification, then device communication can be established, but noise and interference in the communication channel prevent reliable device identification
Solution Approach 1:
The patent substitutes electromagnetic communication signals with acoustic signals for device identification. Acoustic signals captured through the microphone are less susceptible to the types of electromagnetic interference that affect wireless communication. The system processes these acoustic signals through filtering and spectral analysis to extract device identification information, thereby improving reliability in noisy environments
Solution Approach 2:
The patent converts the unique acoustic characteristics and noise profile of the environment into beneficial features for device identification. By analyzing the spectral fingerprint of acoustic signals including their noise characteristics, the system creates a unique identifier for each device. The noise that would normally interfere with communication becomes part of the device's acoustic fingerprint, improving identification reliability
3Adaptability or versatility
If devices use standard communication protocols for identification, then communication can be established, but devices without decoding capability cannot be identified
Solution Approach 1:
The patent replaces the need for signal encoding and decoding with acoustic signal capture and analysis. The second device simply emits acoustic signals (through speaker or other acoustic output), and the first device captures these signals using its microphone. The identification is based on analyzing the acoustic fingerprint of the captured signals rather than decoding structured communication protocols, thereby enabling identification of devices regardless of their decoding capability
Solution Approach 2:
The patent creates an acoustic copy or fingerprint of the second device's signal characteristics. Instead of requiring the second device to transmit encoded identification data that must be decoded, the system captures and analyzes the unique acoustic signature of the device's emitted signals. This acoustic copying approach allows the first device to identify the second device without any decoding capability on the second device
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
This method enables effective device identification and interaction detection even in noisy environments, providing context-aware functionality and enabling communication between devices without relying on specific communication technologies, thus enhancing user experience and device interaction.
Implementation Method 1
electrodes that can couple directly or capacitively
Implementation Method 2
employing signal processing techniques like FFT
Implementation Method 3
employing signal processing techniques like PCA
Data Source
AI summary
In one embodiment, an apparatus includes an electrode that is coupled to a body of a user and is configured to receive a signal from the body. The received signal is based on an electromagnetic interference signal generated by an object that is external to the apparatus. The apparatus further includes one or more processors coupled to the electrode. The processors are configured to detect, based on the signal received by the electrode, one or more of: an interaction between the user and the object, an identity of the object, or a context surrounding the apparatus.