Papers Raspberry Pi 4
“Raspberry Pi 4” 태그가 달린 논문 48편 · 필터 해제
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram
Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent of medical complications. Current cu…
Blood pressure estimationFeature EngineeringRaspberry Pi 4Motion Detection using CSI from Raspberry Pi 4
Monitoring behaviour in smart homes using sensors can offer insights into changes in the independent ability and long-term health of residents. Passive Infrared motion sensors (PIRs) are standard, however may not accurat…
Motion DetectionRaspberry Pi 4Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization
The deployment of artificial neural networks-based optical channel equalizers on edge-computing devices is critically important for the next generation of optical communication systems. However, this is still a highly ch…
CPUEdge-computingGPUModel Compression+2Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
We present Tesla-Rapture, a gesture recognition interface for point clouds generated by mmWave Radars. State of the art gesture recognition models are either too resource consuming or not sufficiently accurate for integr…
Gesture RecognitionRaspberry Pi 4DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
EdgeAI (Edge computing based Artificial Intelligence) has been most actively researched for the last few years to handle variety of massively distributed AI applications to meet up the strict latency requirements. Meanwh…
BenchmarkingEdge-computingRaspberry Pi 4Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Depth estimation is an important computer vision problem with many practical applications to mobile devices. While many solutions have been proposed for this task, they are usually very computationally expensive and thus…
Depth EstimationRaspberry Pi 4HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, but they are difficult to be deployed on hardware due to the intensive computation. To enable low-latency inference on resource-constrained hardware…
CPUDecoderGPUMachine Translation+3Emotion Filtering at the Edge
Voice controlled devices and services have become very popular in the consumer IoT. Cloud-based speech analysis services extract information from voice inputs using speech recognition techniques. Services providers can t…
Privacy PreservingRaspberry Pi 4speech-recognitionSpeech Recognition