Wi-Fi CSI Presence Detection for Smart Home Occupancy Sensing
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Solution Overview
Problem
Existing technologies lack effective methods for detecting and recognizing the presence of objects, such as humans or pets, within a three-dimensional space using Wi-Fi signals, particularly for controlling smart home devices based on occupancy states.
Innovation Solution
Utilizing Wi-Fi channel state information (CSI) to preprocess data, remove anomalies, and determine motion or vital signs within a threshold distance to detect the presence or absence of objects, thereby controlling smart home devices accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Wi-Fi signals are used for presence detection, then device complexity is reduced and ease of operation is improved, but measurement precision and reliability are insufficient due to lack of effective detection methods
Solution Approach 1:
The patent transforms Wi-Fi CSI data from traditional communication parameters into sensing parameters by analyzing amplitude, phase, and frequency characteristics. This parameter transformation enables the existing Wi-Fi system to perform presence detection while maintaining ease of operation and improving measurement precision through sophisticated signal analysis algorithms.
Solution Approach 2:
The patent makes Wi-Fi signals serve dual functions: traditional data communication and presence detection. By processing CSI data for both communication quality assessment and occupancy detection, the system achieves multi-functionality without adding separate detection infrastructure, thus improving ease of operation while enhancing measurement precision through dedicated sensing algorithms.
2Device complexity
If existing Wi-Fi communication systems are used, then device complexity is low, but presence detection capability is insufficient for smart home control
Solution Approach 1:
The patent introduces CSI data as an intermediary that bridges Wi-Fi communication and presence detection. The CSI data, already captured during normal Wi-Fi operations, serves as a mediator that contains embedded information about the wireless environment and objects within it, enabling detection without additional hardware complexity.
Solution Approach 2:
The patent replaces traditional mechanical or electronic presence detection systems with wireless signal-based detection. By using electromagnetic wave interactions with objects (reflected, absorbed, or scattered signals) to infer presence, the system reduces device complexity while overcoming the difficulty of detection through sophisticated signal processing.
3Use of energy by moving object
If motion detection is implemented using Wi-Fi CSI data, then energy consumption is reduced compared to dedicated sensors, but detection reliability is insufficient without preprocessing to remove anomalies
Solution Approach 1:
The patent applies preliminary preprocessing actions to CSI data before motion detection, including anomaly removal, noise filtering, and feature extraction. This preliminary processing ensures that subsequent motion detection operates on clean, reliable data, maintaining high detection reliability while keeping energy consumption low by leveraging existing Wi-Fi infrastructure rather than power-intensive dedicated sensors.
Solution Approach 2:
The patent implements feedback mechanisms where detection results and anomaly patterns are continuously analyzed to refine preprocessing parameters. This feedback loop improves reliability by adapting to changing environmental conditions and anomaly types, while maintaining energy efficiency by optimizing processing only when necessary rather than using constant high-power sensing.
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 detection and recognition of occupancy states, allowing smart home devices to operate efficiently based on the presence or absence of objects, enhancing user convenience and energy management.
Implementation Method 1
Channel state information (CSI) data for at least one communication link between a first electronic device and a Wi-Fi device (e.g., Wi-Fi access point) in a three-dimensional (3D) space
Implementation Method 2
receiving channel state information (CSI) data for at least one communication link between a first electronic device and a Wi-Fi device
Data Source
AI summary
A method includes receiving CSI data for at least one communication link between a first electronic device (ED1) and a Wi-Fi device in a 3D space. The method includes preprocessing the CSI data; and determining whether a motion of an object is detected within a threshold distance to the ED1 based on the preprocessed CSI data. The detection of the motion of the object corresponds to a determination that the object is present in the space. The detection of no motion of the object corresponds to a determination that the object is not present in the space. The method includes outputting at least one of: a first indicator indicating that the space is empty, in response to the determination that the object is not present in the space; or a second indicator indicating that the space is occupied, in response to the determination that the object is present in the space.