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The appearance of the Internet of Things topic has a huge impact on several research fields including human activity recognition (HAR) where wearable sensors provide the raw information about the physical activity and functional ability of an observed person. Previous studies have shown that HAR can be seen as a general machine learning problem with a particular data pre-processing stage. In the last...
Physical activity monitoring represents an important tool in supporting/encouraging vulnerable persons in their struggle to recover from surgery or long term illness promoting a healthy lifestyle. The paper proposes a smart, low power activity monitoring platform capable to acquire data from 4 inertial sensor modules placed on human body, temporarily store it on a mobile phone for real time data display...
Nowadays, human activity recognition (HAR) is an important component of many ambient intelligent solutions where accelerometer and gyroscope signals give the information about the physical activity of an observed person. It has gained increasing attention by the availability of commercial wearable devices such as smartphones, smartwatches, etc. Previous studies have shown that HAR can be seen as a...
Feature selection is an increasingly important part of machine learning. The purpose of feature selection is dimension reduction in a large multi-dimensional data set and it can be the key step of successful knowledge discovery in those problems where the number of features is large. This research area has huge practical significance because it accelerates decisions and improves performance. The requirements...
The purpose of this paper is to present a inertial navigation system with an additional magnetic sensor to increase the accuracy of the guidance system. Thus we obtain a system that has less need of an external reference system for correction of internal reference system, this increasing its autonomy. It is implemented with a 8-bit microcontroller and the usual solid state sensors: acceleration, magnetic...
The fast Fourier transformation (FFT) is one of the most important algorithm in the world. The FFT efficiently calculates the frequency components of time-varying signals. In most cases, the digital signal processor and other applications use the FFT algorithm periodically. Consequently, even a small acceleration of the FFT algorithm greatly speeds up the whole application. This article presents an...
This paper presents research made for independent daily life assistance of elderly or persons with disabilities using IoT technologies. Our scope is to develop a system that allows living for as long as possible in familiar environment. This will be possible by wider spread of assistive technologies and the internet of things (IoT). We aim to bring together latest achievements in domain of Internet...
The article analyzes the impact of “IoT — Internet of Things” on the design of new eHealth solutions. The authors aim to illustrate that the communication models, protocols and technologies promoted under the IoT concept have a great potential in the implementation of Internet-based healthcare systems. The experiments performed by the authors in the field of eHealth reveal some possible solutions,...
This paper presents an implementation of a reduced Ethernet MAC. The reduced MAC is simple and not resource wasteful. Therefore it is suitable to every project which includes network communication. It is especially useful to low performance FPGAs. In practice, the FPGA boards are well applicable to implement network protocols because the implemented protocols will work in parallel. The main topics...
Due to the rapid increase of number of industrial or domestic systems that must be controlled it is clear that new, more natural methods of control are needed. This paper presents an intelligent human machine interface based on hand's gesture recognition. The gestures based control system is composed by two subsystems that communicated via radio waves. The first subsystem is a bracelet that captures...
This paper presents the hardware-software co-design platform based on FPGA developed for fast prototyping of embedded systems using hardware modules that can be easily connected and “driver” modules that can manage I/O devices and sensors basic behavior. Having this framework, adding of a new I/O peripheral needs only design and synthesis of an application specific VHDL or software module. Using neural...
This paper presents a hardware implementation of a multilayer feed-forward neural network based on back-propagation. The implementation is assumed to design and implement modules that emulate FF-BP functions with computing blocks of the predefined System Generator library and user defined blocks integrated in the System Generator library. The main application of the developed structure is an artificial...
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