MAGNO , Michele

Sélection neuromorphique d'objets saillants pour la vision événementielle

The combined use of spiking neural networks and event cameras is gaining momentum in the field of embedded computer vision as they promise to reduce latency and computational resource requests. However, state-of-the-art embedded neuromorphic models show little interest in modifying input data to optimise model performance, memory usage,...

A fast growing class of sensing technology is wearable, where network nodes are tightly coupled with the human body. Wireless body area networks (WBAN) technology has gained popularity over the last few years, with a wide range of applications covered, in particular in health and rehabilitation. Wearable and pervasive computing are able to...

Wireless sensor networks (WSNs) with energy harvesting capabilities have drawn increasing attention in the last few years, as they enable long-term monitoring applications. However, the level of power harvested is usually limited to few mW. To improve the energy efficiency of WSNs, many power management techniques have been proposed to adjust...

Contrary to RGB cameras, Dynamic Vision Sensor (DVS) output visual data in the form of an asynchronous events stream by recording pixel-wise luminance changes at microsecond resolution. While conventional computer vision approaches utilise frame-based input data, thus failing to take full advantage of the high temporal resolution, novel...

Contrary to RGB cameras, Dynamic Vision Sensor (DVS) output visual data in the form of an asynchronous events stream by recording pixel-wise luminance changes at microsecond resolution. While conventional computer vision approaches utilise frame-based input data, thus failing to take full advantage of the high temporal resolution, novel...

Contrary to RGB cameras, Dynamic Vision Sensor (DVS) output visual data in the form of an asynchronous events stream by recording pixel-wise luminance changes at microsecond resolution. While conventional computer vision approaches utilise frame-based input data, thus failing to take full advantage of the high temporal resolution, novel...

Body Area Networks (BAN) have received significant attention in recent years and have found a wide range of applications, including wearable devices for fitness and health tracking, and mobile communications. Battery lifetime continues to be the main bottleneck in these small form factor devices, thus low power design and advanced power...

Neuromorphic computing has been identified as an ideal candidate to exploit the potential of event-based cameras, a promising sensor for embedded computer vision. However, state-of-the-art neuromorphic models try to maximize the model performance on large platforms rather than a trade-off between memory requirements and performance. We present...

To extend the system lifetime of WSN, energy harvesting techniques have been considered as potential solutions forlong-term operations. Instead of minimizing the consumed energy as for the case of battery-powered systems, the harvesting node is adapted to Energy Neutral Operation (ENO) to achieve a theoretically innite lifetime. Therefore,...

To extend the system lifetime of WSN, energy harvesting techniques have been considered as potential solutions forlong-term operations. Instead of minimizing the consumed energy as for the case of battery-powered systems, the harvesting node is adapted to Energy Neutral Operation (ENO) to achieve a theoretically innite lifetime. Therefore,...