26 citations · 103 across the 33 of their papers we have counts for
10 papers · 1 filter
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
Pietro Bonazzi, Yawei Li, Sizhen Bian +1
This paper addresses the growing interest in deploying deep learning models directly in-sensor. We present "Q-Segment", a quantized real-time segmentation algorithm, and conduct a…
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis +3
This paper introduces a neuromorphic methodology for eye tracking, harnessing pure event data captured by a Dynamic Vision Sensor (DVS) camera. The framework integrates a directly…
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
Julian Moosmann, Pietro Bonazzi, Yawei Li +4
Smart glasses are rapidly gaining advanced functions thanks to cutting-edge computing technologies, especially accelerated hardware architectures, and tiny Artificial Intelligence…
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Sungho Suh, Vitor Fortes Rey, Sizhen Bian +5
Manufacturing industries strive to improve production efficiency and product quality by deploying advanced sensing and control systems. Wearable sensors are emerging as a promising…
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition
Sizhen Bian, Michele Magno
Energy efficiency and low latency are crucial requirements for designing wearable AI-empowered human activity recognition systems, due to the hard constraints of battery operations…
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation
Pietro Bonazzi, Thomas Ruegg, Sizhen Bian +2
Intelligent edge vision tasks encounter the critical challenge of ensuring power and latency efficiency due to the typically heavy computational load they impose on edge platforms.…
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras
Sizhen Bian, Lukas Schulthess, Georg Rutishauser +3
The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehicles (UAV) is raising, especially due to the microsecond-level reaction time of the bio-inspired event senso…
Fully Automatic Gym Exercises Recording: An IoT Solution
Sizhen Bian, Alexander Rupp, Michele Magno
In recent years, working out in the gym has gotten increasingly more data-focused and many gym enthusiasts are recording their exercises to have a better overview of their historic…
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro +3
End-to-end event-based computation has the potential to push the envelope in latency and energy efficiency for edge AI applications. Unfortunately, event-based sensors (e.g., DVS c…
Exploring Automatic Gym Workouts Recognition Locally On Wearable Resource-Constrained Devices
Sizhen Bian, Xiaying Wang, Tommaso Polonelli +1
Automatic gym activity recognition on energy- and resource-constrained wearable devices removes the human-interaction requirement during intense gym sessions - like soft-touch tapp…