Tapiador Morales, RicardoMaro, Jean-MatthieuJiménez Fernández, Ángel FranciscoJiménez Moreno, GabrielBenosman, Ryad B.Linares Barranco, Alejandro2021-02-122021-02-122020-06Tapiador Morales, R., Maro, J., Jiménez Fernández, Á.F., Jiménez Moreno, G., Benosman, R.B. y Linares Barranco, A. (2020). Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA. Sensors, 20 (12), 3404-.1424-8220https://hdl.handle.net/11441/104876Neuromorphic vision sensors detect changes in luminosity taking inspiration from mammalian retina and providing a stream of events with high temporal resolution, also known as Dynamic Vision Sensors (DVS). This continuous stream of events can be used to extract spatio-temporal patterns from a scene. A time-surface represents a spatio-temporal context for a given spatial radius around an incoming event from a sensor at a specific time history. Time-surfaces can be organized in a hierarchical way to extract features from input events using the Hierarchy Of Time-Surfaces algorithm, hereinafter HOTS. HOTS can be organized in consecutive layers to extract combination of features in a similar way as some deep-learning algorithms do. This work introduces a novel FPGA architecture for accelerating HOTS network. This architecture is mainly based on block-RAM memory and the non-restoring square root algorithm, requiring basic components and enabling it for low-power low-latency embedded applications. The presented architecture has been tested on a Zynq 7100 platform at 100 MHz. The results show that the latencies are in the range of 1 µs to 6.7 µs, requiring a maximum dynamic power consumption of 77 mW. This system was tested with a gesture recognition dataset, obtaining an accuracy loss for 16-bit precision of only 1.2% with respect to the original software HOTS.application/pdf16 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Dynamic vision sensorsEvent-basedSynchronous digital VLSIHDLFPGAPattern recognitionAERinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.3390/s20123404