Project

# Title Team Members TA Documents Sponsor
32 Sensing your heartbeat (and others)
 Qiyang Wu
Xin Chen
Xuanqi Wang
Yukai Han
 design_document1.pdf
final_paper1.pdf
final_paper2.pdf
proposal1.pdf
 Howard Yang
# Problem
Traditional human activity monitoring systems often rely on cameras, wearable sensors, or specialized hardware, which can be intrusive, expensive, or inconvenient. However, WiFi signals, which are already ubiquitous in indoor environments, can be repurposed for non-contact human sensing. The challenge lies in accurately extracting and interpreting fine-grained Channel State Information (CSI) to detect subtle human activities, such as breathing, gestures, and potentially even heartbeats, while mitigating environmental interference.

Solution Overview
Our solution for utilizing WiFi as a radar is to leverage Channel State Information (CSI) to sense human activities. We achieve this by extracting fine-grained CSI signals from WiFi devices and applying signal processing techniques to interpret movement patterns. The system consists of a WiFi transmitter and receiver and these devices can continuously capture CSI variations caused by human motion. Advanced algorithms are then used to distinguish different actions like heartbeats and body gestures by analyzing phase shifts and amplitude changes in the wireless signals. This approach enables non-contact human activity sensing, making it suitable for applications in health monitoring and human-computer interaction.

Solution Components
Subsystem1: WIFI signal transmission system
The WiFi signal transmission system consists of Intel AX200 or AX210 network cards and external antennas to ensure stable and high-quality signal transmission. These components work together to provide a robust wireless communication setup necessary for collecting Channel State Information (CSI).
Subsystem2: CSI Extraction Tool/Software
The CSI signal processing system extracts WiFi CSI data using Ubuntu 22.04 LTS and PicoScenes software, which enables real-time signal analysis for detecting fine-grained variations in the wireless channel.
Subsystem3: Human Action Recognition System
The human action recognition system leverages CSI data to detect human movements by analyzing signal variations. Using MATLAB, Python and specialized CSI analysis toolboxes, it processes amplitude and phase changes to detect different human activities accurately.
Criterion for Success
Accurate Respiration Detection: The system must reliably detect human breathing patterns using CSI data by analyzing amplitude and phase variations in WiFi signals.
Robust Interference Mitigation: The system should effectively filter out environmental noise and external disturbances, such as movement from non-human objects or signal fluctuations caused by multipath effects.
Detection of Heartbeat and Other Physiological Signals (If possible): The system should capture and differentiate finer physiological signals, such as heartbeats, using advanced signal processing techniques.
Distribution of Works
Xin Chen [ECE] – Signal Processing
Develops signal processing algorithms to analyze CSI data, extracting key features such as amplitude and phase variations for human activity recognition. Implements filtering and denoising techniques to improve signal quality and enhance detection accuracy. Works closely with system integration to ensure seamless data flow and efficient processing of CSI signals.

Qiyang Wu [EE] – System Integration and Data Transmission
Manages real-time data transmission between WiFi hardware and processing units, ensuring minimal latency and packet loss. Develops communication protocols to synchronize CSI data collection with processing algorithms. Optimizes data handling and storage to support continuous CSI analysis and facilitate system scalability.

Xuanqi Wang [EE] – Hardware Setup and Optimization
Configures WiFi devices, antennas, and receivers to ensure stable and high-quality CSI signal collection. Optimizes antenna placement to maximize sensitivity to movement and reduce interference. Works on power management and circuit adjustments to ensure system reliability and efficiency in different environments.

Yukai Han [ME] – Mechanical Design
Designs mounting structures and enclosures to securely position WiFi devices for optimal signal reception. Ensures stability and repeatability of the setup to maintain consistency in experiments. Assists in planning and executing test scenarios, considering environmental factors that may impact CSI signal variations.

A Direct Digitally Modulated Wireless Communication System

Qingyang Chen, Bingsheng Hua, Luyi Shen, Dingkun Wang

Featured Project

TEAM MEMBERS: Luyi Shen luyis2 Bingsheng Hua bhua5 Dingkun Wang dingkun2 Qingyang Chen qc20

PROJECT NAME: A Direct Digitally Modulated Wireless Communication System

PROBLEM: Communication system is closely related to our life. We measure communication systems primarily by their effectiveness and reliability. But in fact, validity and reliability are a pair of contradictory indicators, and they need a certain compromise. We hope to improve the efficiency of communication system on the basis of guaranteeing the accuracy of communication.

SOLUTION OVERVIEW: The project is to design and implement a kind of communication system for the next generation technology which is much more simplified compared to the systems that existed. The final version of the system should be expected to be able to transmit data like images and videos.

Our basic idea is that the information can be send in digital signal form to matesurface, EM waves will be sent to the matesurface and be scattered to space. The information we want to transit will be carried on scattered EM waves. And once the receiver receives the signal it will be decoded into the original information.

Basically, our project is a kind of innovation or re-creation of an existing communication system. The biggest difference between our design and other systems could be the method to process the information. There is a significant component in our future design called metasurface, which could be used to adjust the phase, magnitude, and polarization along with other significant properties of EM waves which can send multi-digit signal at same time.

As for the functionality of our project, we think it could be an interesting trial and we have faith to finish it since everything we need in the project we could find plenty of research materials and reports to look into. Even if the project is not applicable in the end, we believe the application of the metasurface material could be still powerful in communication system.

SOLUTION COMPONENTS: Metasurface: it could be used to adjust the phase, magnitude, and polarization along with other significant properties of EM waves. Receiver: it is where information will be received and decoded. FPGA: it is where information will be prepared and send to the metasurface. Signal emitter: Send EM wave to matesurface.

CRITERION FOR SUCCESS 1.The system could be used to transmit data like Images and Videos. 2.The system should be able to demonstrate a certain level of supreme communication efficiency

DISTRIBUTION OF WORK: Dingkun Wang & Qingyang Chen

Responsible for the software part of the communication system, including the information processing sent by the computer, the receiver information receives and decode, the interface between software and hardware, etc.

Bingsheng Hua & Luyi Shen

Responsible for the design of metasurface in the communication system and the construction of the hardware of the communication system.