Introduces the first large-scale event-based HAR benchmark under low-light and 6-DoF shaking conditions with IMU data, and an EIS-HAR pipeline using non-linear warping for motion compensation plus a four-stage hybrid network that outperforms prior methods on three datasets.
A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008
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DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions
Introduces the first large-scale event-based HAR benchmark under low-light and 6-DoF shaking conditions with IMU data, and an EIS-HAR pipeline using non-linear warping for motion compensation plus a four-stage hybrid network that outperforms prior methods on three datasets.