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Found 8 papers, 1 papers with code
Instance-based Learning with Prototype Reduction for Real-Time Proportional Myocontrol: A Randomized User Study Demonstrating Accuracy-preserving Data Reduction for Prosthetic Embedded Systems
This work presents the design, implementation and validation of learning techniques based on the kNN scheme for gesture detection in prosthetic control.
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors
Tiny machine learning (TinyML) in IoT systems exploits MCUs as edge devices for data processing.
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring
Modern real-time Structural Health Monitoring systems can generate a considerable amount of information that must be processed and evaluated for detecting early anomalies and generating prompt warnings and alarms about the civil infrastructure conditions.
Scale up to infinity: the UWB Indoor Global Positioning System
Determining assets position with high accuracy and scalability is one of the most investigated technology on the market.
TinyML Platforms Benchmarking
Recent advances in state-of-the-art ultra-low power embedded devices for machine learning (ML) have permitted a new class of products whose key features enable ML capabilities on microcontrollers with less than 1 mW power consumption (TinyML).
KNN Learning Techniques for Proportional Myocontrol in Prosthetics
This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses.
Automated Pest Detection with DNN on the Edge for Precision Agriculture
With the development of deep learning in computer vision technology, autonomous detection of pest infestation through images has become an important research direction for timely crop disease diagnosis.
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
State-of-the-Art approaches are based on Machine Learning methods and exploit the fusion of time- and frequency-domain features from current and voltage sensors.
