3 papers
cs.NE2026
Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor
Lyes Khacef, Philipp Weidel, Susumu Hogyoku +8
Fall detection for elderly care using non-invasive vision-based systems remains an important yet unsolved problem. Driven by strict privacy requirements, inference must run at the…
cs.CV2025
Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardware
Federico Paredes-Valles, Yoshitaka Miyatani, Kirk Y. W. Scheper
Eye tracking is fundamental to numerous applications, yet achieving robust, high-frequency tracking with ultra-low power consumption remains challenging for wearable platforms. Whi…
eess.IV2025
Coupled Video Frame Interpolation and Encoding with Hybrid Event Cameras for Low-Power High-Framerate Video
Hidekazu Takahashi, Takefumi Nagumo, Kensei Jo +6
Every generation of mobile devices strives to capture video at higher resolution and frame rate than previous ones. This quality increase also requires additional power and computa…