Step counting is the task of detecting and enumerating individual footsteps or walking strides using ambient WiFi Channel State Information (CSI) signals, without requiring the subject to carry any dedicated device. It matters for the field because it enables passive, infrastructure-based activity quantification for health monitoring, elderly care, and fitness tracking applications, leveraging the fine-grained multipath perturbations that each footfall induces in the wireless channel. Key variants include distinguishing between simple step detection in controlled corridors and more complex scenarios involving multiple subjects, varying gaits, or simultaneous localization, where step counts serve as a complementary signal to improve dead-reckoning-based indoor positioning accuracy.
Source Papers
- A Survey on Human Behavior Recognition Using Channel State Information ↗ — A Survey on Human Behavior Recognition Using Channel State I
- A Survey on Wireless Device-free Human Sensing: Application Scenarios, Current Solutions, and Open Issues ↗ — A Survey on Wireless Device-free Human Sensing: Application