Welcome to Wireless Sensing Tutorial

⚡️ Wireless sensing is an emerging technology that leverages ubiquitous wireless signals to perceive our surroundings.

It enables a wide range of applications, such as 🖐🏻 gesture recognition for human-computer interaction, 💛 vital signs monitoring for health care, and 🕶 intrusion detection for security management.

Compared with other sensing paradigms, such as 📷 vision-based sensing, wireless sensing solutions have unique advantages such as high coverage, pervasiveness, low cost, and robustness under adverse light and texture scenarios. Besides, wireless sensing solutions are generally lightweight in terms of both computation overhead and device size.

This tutorial takes Wi-Fi sensing as an example. It introduces both the theoretical principles and the code implementation for building a wireless sensing system, including data collection, signal processing, features extraction, and model design. In addition, this tutorial highlights state-of-the-art deep learning models (e.g., CNN, RNN, and adversarial learning models) and their applications in wireless sensing systems.

We believe this tutorial will help people in other research fields break into wireless sensing research and learn more about its theories, designs, and implementation skills, promoting prosperity in the field of wireless sensing.

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All the code and data in this tutorial are available. Click here to download it!

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Our paper "Hands-on Wireless Sensing with Wi-Fi: A Tutorial" has been published on ArXiv. Click to get the PDF version.

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Our updated GitBook version is now available.

🔥 Now, are you ready to start?

😄 May you have a wonderful journey with Wireless Sensing!