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Several studies have focused on classifying behavioral patterns in wildlife and captive species to monitor their activities and so to understanding the interactions of animals and control their welfare, for biological research or commercial purposes. The use of pattern recognition techniques, statistical methods and Overall Dynamic Body Acceleration (ODBA) are well known for animal behavior recognition...
This work proposes an Android-based platform to warn the medical staff of the onset of allergy reactions during a provocation test in a hospital. The portable system carries out the analysis of the heart rate variability for the early detection of allergic reactions in patients undergoing allergy provocation tests at hospitals. The proposal is composed of an ECG (electrocardiogram) acquisition system...
Metacognition has been used in artificial intelligence to increase the level of autonomy of intelligent systems. However the design of systems with metacognitive skills is a difficult task due to the number and complexity of processes involved. This paper describes a MOF-based visual metacognitive modeling tool named MetaThink. MetaThink has a core based on a metacognitive metamodel named MISM. MetaThink...
Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or event-based representation and codification of the information. This codification allows performing complex computations, filters, classifications and learning in a pseudo-simultaneous way. Small incremental processing is done per event, which shows useful results with very low latencies...
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different and complementary types of sensors. Neuromorphic engineers mimics biological systems behavior to improve systems performance in solving engineering problems with low power consumption. This work presents a neuromorphic sensory integration scenario for measuring the rotation...
Multisensory integration is commonly used in various robotic areas to collect much more information from an environment using different and complementary types of sensors. This demonstration presents a scenario where the motor rotation frequency is obtained using an AER DVS128 retina chip (Dynamic Vision Sensor) and a frequency decomposer auditory system on a FPGA that mimics a biological cochlea...
Wireless Sensor Networks (WSNs) can be typically used to achieve Continuous Monitoring (CM) or Event-Detection inside the supervised area. In CM applications each sensor node transmits periodically its sensed data to the sink node while in Event-Detection Driven (EDD) applications, once an event occurs, it is reported to the sink node by the sensors within the event area. Applications using both continuous...
Sensor networks have experienced a fast development and extended their fields of application since their appearance for military uses. The monitoring of physical parameters in natural habitats is a typical application for assessing the risks of worsening the ecosystem. Among natural environments with scientific interest, there are the coastlines in front of cities whose industrial activities impact...
The study and monitoring of wildlife and in semi-freedom has always been a subject of great interest. In recent years the technology allows to design low cost systems that facilitate these tasks: microcontrollers, low-power wireless networks, sensors. GPS, satellite and VHF has been used for position tracking and localization of wildlife. Our aim is to design a low-cost system for local monitoring...
Neuromorphic engineering tries to mimic biological information processing. Address-event representation (AER) is a neuromorphic communication protocol for spiking neurons between different chips. We present a new way to drive robotic platforms using spiking neurons. We have simulated spiking control models for DC motors, and developed a mobile robot (Eddie) controlled only by spikes. We apply AER...
Here we successfully extracted sources from noisy single-channel abdominal phonograms. First, an appropriate matrix of delays was constructed; then multiple independent components were calculated using TDSEP; finally, components were projected back onto the measurement space and grouped using K-means. Three single-channel phonograms from different subjects were analysed. Results showed a better-quality...
Address-event-representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. By exploiting high speed digital communication circuits (with nano-seconds timings), synaptic neural connections can be time multiplexed, while neural activity signals (with miliiseconds timings)...
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