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Hand Posture Recognition Using Convolutional Neural Network
TLDR
This work presents a convolutional neural network-based algorithm for recognition of hand postures on images acquired by a single color camera, which achieves high classification accuracy, including scenarios with different camera used in testing.
Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence
TLDR
This work proposes a non-invasive, fast, and cost-effective screening test for iron-deficiency anemia in Peruvian young children and shows promising evidence for detecting conjunctival pallor anemia and Artificial Intelligence techniques with photos taken with a popular smartphone.
A Convolutional Neural Network for gaze preference detection: A potential tool for diagnostics of autism spectrum disorder in children
TLDR
A convolutional neural network (CNN) algorithm for gaze prediction using images extracted from a one-minute stimulus video achieves a fast response time, providing a near real-time evaluation of ASD.
Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning
TLDR
This paper presents the ongoing work on a system for COVID-19 detection using ultrasound imaging and using Deep Learning techniques, implemented on a Raspberry Pi to make it portable and easy to use in remote regions without an Internet connection.
Real-Time Handwritten Letters Recognition on an Embedded Computer Using ConvNets
TLDR
The experimental results show that the proposed neural network achieves an outstanding accuracy rate compared to similar architectures, also, inference shows a fast response time on a Raspberry Pi 3 board.
Implementation of a WiFi-based indoor location system on a mobile device for a university area
This paper describes the implementation of an indoor location system on a mobile phone for the Faculty of Electrical, Electronic and Telecomunications at the Universidad Nacional de Ingeniería, Peru.
Development of a hand pose recognition system on an embedded computer using Artificial Intelligence
TLDR
This paper describes the implementation of a visual-based recognition system on a embedded computer for 10 hand poses recognition with an accuracy of 94.50%, a low power consumption and a near real-time response.
Development of a hand pose recognition system on an embedded computer using CNNs
TLDR
This work suggests an approach for hand pose recognition in embedded computers using hand tracking and CNNs and results show a fast time response with an accuracy of 94.50% and low power consumption.
A Real-Time Recognition System for User Characteristics Based on Deep Learning
TLDR
An implementation of a novel real-time recognition system which is capable to identify important information from a single user such as gender, age, emotions and hand gestures that could be useful in numerous applications like human-computer interaction, person identification, security control and others.
Smart Campus IoT Guidance System for Visitors Based on Bayesian Filters
TLDR
An indoor location system that makes use of a Raspberry Pi embedded computer andWiFi signals to guide a person inside a region of the faculty of Electrical and Electronic at Universidad Nacional de Ingeniería, Peru shows promising results.
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