The paper you provided explores the use of WiFi signals for dense human pose estimation, offering a potential alternative to other sensing technologies. While the research shows promising results, it's important to consider some limitations and potential implications.

One limitation mentioned is the diversity of WiFi hardware. Different WiFi routers and devices may have variations in signal quality, range, and other factors that could impact the accuracy and reliability of the dense pose estimation. Standardizing the hardware and ensuring compatibility across different devices could be a challenge.

Additionally, the lack of data is another limitation. Collecting a diverse and comprehensive dataset for training the deep neural network is crucial for achieving accurate results. Obtaining a sufficiently large and varied dataset that encompasses different populations, environments, and scenarios may require significant effort.

Regarding the adoption of Starlink or any other global WiFi network, it's important to consider the ethical and privacy implications. While WiFi signals can penetrate walls, enabling the possibility of sensing through certain structures, it raises concerns about privacy and surveillance. The use of WiFi signals for dense pose estimation could potentially intrude on individuals' privacy if deployed without appropriate safeguards and regulations.

Furthermore, the deployment of a global dense pose map using WiFi signals would require consent and cooperation from individuals and organizations. It would involve significant logistical challenges and considerations, including legal and ethical frameworks, to ensure that privacy rights and security concerns are appropriately addressed.

In summary, while the concept of using WiFi signals for dense pose estimation is intriguing, several limitations and ethical considerations need to be addressed before envisioning a wide adoption of such technology on a global scale.
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