Wireless Lifelog Presentation System for Multi-Person Vital Sign Monitoring
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Solution Overview
Problem
Existing wireless sensing technologies face challenges in accurately monitoring breathing rates in environments with multiple individuals, as WiFi-based methods struggle with distinguishing vital signs due to omni-directional signal propagation and narrow bandwidth, leading to degraded accuracy and difficulty in extracting signals from multiple humans.
Innovation Solution
A presentation system that processes and compiles time-stamped data to generate a hybrid, synchronous, and joint presentation of analytics associated with a living object's lifelog, using a processor and memory to determine a common time axis for multiple time series of analytics, allowing for accurate visualization of breathing rates and other vital signs on a user-interface device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If WiFi-based methods are used for monitoring breathing rates, then the system can be easily deployed with existing infrastructure, but the accuracy degrades when multiple individuals are present due to omni-directional signal propagation and narrow bandwidth
Solution Approach 1:
The patent segments the wireless signal into multiple spatial components using an array of antennas, allowing the system to distinguish between signals from different individuals by their spatial distribution patterns. This segmentation enables accurate breathing rate measurement even when multiple people are present in the monitoring area.
Solution Approach 2:
The patent introduces spatial dimensionality by using an array of antennas to capture the three-dimensional distribution of wireless signals. This dimensional expansion allows the system to differentiate between multiple individuals based on their spatial positions and signal characteristics, resolving the ambiguity in multi-person environments.
2Adaptability or versatility
If omni-directional wireless signals are used for monitoring, then the system can detect vital signs from multiple angles, but it becomes difficult to extract signals from multiple humans simultaneously
Solution Approach 1:
The patent segments the omni-directional signals into distinct spatial components using beamforming techniques. By directing and separating signal paths based on their spatial origin, the system can identify and extract breathing rate information from specific individuals while filtering out interference from others in the environment.
Solution Approach 2:
The patent introduces spatial filtering and beamforming as intermediary mechanisms that process the omni-directional signals. These intermediary techniques transform the complex multi-directional signal mixture into separated, identifiable signal components associated with different individuals, making extraction straightforward despite the omni-directional nature of the original signals.
Data Source
AI summary
Methods, apparatus and systems for wireless sensing are described. In one embodiment, a described presentation system comprises: a presentation device with a user-interface; a processor communicatively coupled to the presentation device; a memory communicatively coupled to the processor; and a set of instructions stored in the memory. The set of instructions, when executed by the processor, causes the processor to perform: determining a plurality of time series of analytics (TSA) associated with a lifelog of a living object, determining a common time axis for the plurality of TSA, and generating a presentation that presents the plurality of TSA synchronously and jointly in a hybrid manner based on the common time axis. The presentation is presented on the user-interface of the presentation device.