Posted Date: Aug 8, 2025
Youngmin's work titled "HActiFi: Towards Practical ISAC for Human Activity Recognition via Smart TV Infrastructure" has been accepted to IEEE Vehicular Technology Conference
Congratulations!
HActiFi: Towards Practical ISAC for Human Activity Recognition via Smart TV Infrastructure
Youngmin Kim, Kanghyun Lee, Youngwook Son, and Saewoong Bahk
Abstract
Recent advancements in Integrated Sensing and Communication (ISAC) have enabled human activity recognition (HAR) based on channel state information (CSI) from Wi-Fi signals, as a privacy-conscious and cost-effective alternative to conventional vision-based applications. With smart TV platforms increasingly crucial for home automation, Wi-Fi CSI-based HAR offers seamless integration into existing infrastructure. However, in real-world home environments, the close proximity between Wi-Fi AP and smart TV often leads to dominant Line-of-Sight (LOS) signal path, limiting multipath channel diversity and thus the HAR accuracy. To address this, we present HActiFi, an advanced HAR framework that adaptively controls CSI sampling to ensure reliable sensing without overloading the network. Our smartphone-assisted CSI injection method effectively restores recognition accuracy, and adaptive sampling dynamically optimizes throughput, ensuring robust HAR functionality while preserving streaming quality. These findings confirm that Wi-Fi CSI sensing is a scalable and privacy-conscious alternative to vision-based HAR, making it viable for real-world smart home environments.