AI RESEARCH
Wi-Spike: A Low-power WiFi Human Multi-action Recognition Model with Spiking Neural Networks
arXiv CS.CV
•
ArXi:2603.14475v1 Announce Type: new WiFi-based human action recognition (HAR) has gained significant attention due to its non-intrusive and privacy-preserving nature. However, most existing WiFi sensing models predominantly focus on improving recognition accuracy, while issues of power consumption and energy efficiency remain insufficiently discussed. In this work, we present Wi-Spike, a bio-inspired spiking neural network (SNN) framework for efficient and accurate action recognition using WiFi channel state information (CSI) signals.