Peer-Synchronized EMF Wearable Sensing Without Centralized Control
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Solution Overview
Problem
Existing EMF sensor systems for tracking human appendages require centralized control and synchronization, leading to interference and increased data transmission bandwidth when multiple sensors are in close proximity, which complicates accurate position detection.
Innovation Solution
A self-governing synchronization method using peer-to-peer algorithms and intermittent EMF signal emission, where each sensor's clock has slight timing variations to differentiate between signals without centralized control, allowing for synchronized detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized control and synchronization is used for multiple EMF sensors, then interference between sensors can be avoided, but device complexity and data transmission bandwidth increase
Solution Approach 1:
Each EMF sensor system autonomously performs synchronization by detecting EMF signals from other systems and adjusting its own clock timing accordingly. The system self-regulates without external centralized control, with each node independently determining its transmission timing based on detected signals from peer systems.
Solution Approach 2:
The system uses EMF signal detection as feedback to adjust clock timing. Each sensor detects EMF signals from other systems, measures their timing characteristics, and uses this feedback information to synchronize its own clock and transmission timing, creating a closed-loop synchronization mechanism.
2Reliability
If frequency division multiplexing or time division multiplexing is used to differentiate EMF signals, then signal interference is reduced, but data transmission bandwidth requirements increase
Solution Approach 1:
Each EMF sensor system transmits signals periodically at its own clock timing, creating intermittent EMF pulses. The periodic nature of these transmissions allows receivers to distinguish between different systems based on timing patterns without requiring frequency division or time division multiplexing protocols.
Solution Approach 2:
The system differentiates between multiple EMF sources by detecting variations in timing parameters (clock synchronization offsets) rather than using frequency division or time slot allocation. Each system's unique timing characteristics serve as its identification signature, reducing bandwidth requirements compared to multiplexing schemes.
3Device complexity
If multiple EMF sensors operate in close proximity without synchronization, then device complexity is reduced, but signal interference increases
Solution Approach 1:
Each EMF sensor system autonomously performs synchronization by detecting EMF signals from other systems and adjusting its own clock timing accordingly. The system self-regulates without external centralized control, with each node independently determining its transmission timing based on detected signals from peer systems.
Solution Approach 2:
EMF signals serve as an intermediary medium for synchronization. Instead of direct digital communication between systems or centralized control messages, systems use the physical EMF field itself as the carrier of timing information, allowing indirect synchronization through environmental electromagnetic interactions.
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
Enables accurate and efficient tracking of multiple users' appendages by reducing interference and eliminating the need for centralized control, ensuring precise position detection and reduced data transmission requirements.
Implementation Method 1
EMF (electromagnetic field) sensors may be used for detecting the position of any attached object
Data Source
AI summary
A wearable device that comprises a plurality of sensors and a single EMF source, that applies a peer to peer algorithm to synchronize the detection of the EMF by the sensors for a plurality of wearable devices.