Wyniki wyszukiwania - BazTech

1

Smart urban design space

Skowron Philipp, Aleithe Michael, Wallrafen Susanne, Hubl Marvin, Fietkau Julian, Franczyk Bogdan

Annals of Computer Science and Information Systems

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2019

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Vol. 18

493--496

EN

The irreversible process of demographic change, especially in Germany, leads to numerous challenges. According to this, research has to face the task to integrate the constantly ageing population into the urban and public space in such a way that there are as few barriers as possible. With the support of digitalization, so-called smart urban objects are being designed in order to do make integration, so that people and the available technology can be used most efficiently. A special ontology has been developed to meet this demand.

2

A Deep learning and multimodal ambient sensing framework for human activity recognition

Yachir Ali, Amamra Abdenour, Djamaa Badis, Zerrouki Ali, khierEddine Amour Ahmed

Annals of Computer Science and Information Systems

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2019

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Vol. 18

101--105

EN

Human Activity Recognition (HAR) is an important area of research in ambient intelligence for various contexts such as ambient-assisted living. The existing HAR approaches are mostly based either on vision, mobile or wearable sensors. In this paper, we propose a hybrid approach for HAR by combining three types of sensing technologies, namely: smartphone accelerometer, RGB cameras and ambient sensors. Acceleration and video streams are analyzed using multiclass Support Vector Machine (SVM) and Convolutional Neural Networks, respectively. Such an analysis is improved with the ambient sensing data to assign semantics to human activities using description logic rules. For integration, we design and implement a Framework to address human activity recognition pipeline from the data collection phase until activity recognition and visualization. The various use cases and performance evaluations of the proposed approach show clearly its utility and efficiency in several everyday scenarios.

3

Detection of human fall episodes based on coordinates of body tags and numerical differentiation

Momot M., Momot A., Nowak G., Seredynski R., Jezewski J., Kupka T.

Journal of Medical Informatics & Technologies

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2012

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Vol. 21

11--17

EN

This paper presents a new method for detection of changes in alignment of the human body, particularly the fall, on the basis of signals acquired from the position sensors placed on the body of the monitored person. The sensors are located on the cuffs, waist and chest. Transformation of data sequence collected from sensors is proposed in order to best distinguish between the collapse from the normal movement. It is based on nonlinear combination of the first two derivatives of the signals being read. Because data from the sensors is sent asynchronously, a numerical algorithm for unevenly sampled data differentiation is proposed. Derivative values are calculated in equidistant nodes through differentiation of a polynomial, which is adjusted by minimizing the mean square error. The developed method can be used in home care telemedicine systems, where it is necessary to long term monitor of multiple vital parameters of people under care.

4

Assisted living infrastructure

Augustyniak P.

Journal of Medical Informatics & Technologies

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2011

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Vol. 17

11--22

EN

Assisted living applications are commonly understood as technical environment for disabled or elderly people providing the care in the user-specific range. We are going to present the data capture methodology and design of a home care system for medical-based surveillance and man-machine communication. The proposed system consists of the video-based subject positioning, monitoring of the heart and brain electrical activity and eye tracking. The multimodal data are automatically interpreted and translated to tokens representing subject's status or command. The circadian repetitive status time series (behavioral patterns) are a background for learning of the subject's habits and for automatic detection of unusual behavior or emergency. Due to mutual compatibility of methods and data redundancy, the use of unified status description vouches for high reliability of the recognition despite the use of simplified measurements methods. This surveillance system is designed for everyday use in home care, by disabled or elderly people.

5

Personal wearable monitor of the heart rate variability

Augustyniak P.

Bio-Algorithms and Med-Systems

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2011

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Vol. 7, no. 1

5--9

EN

The aim of the paper is to present a prototype of wearable heart rate variability (HRV) monitor. The home care surveillance and sleep assessment system is partly embedded into a smart home infrastructure and partly worn by a supervised person. The prototype wearable device is designed to acquire and process the electrocardiogram and to send reports accordingly to a programmed schedule. The recording, processing and transmission modes are programmable, what allows the recorder to respond immediately in case of predefined thresholds excess, while the regular reporting is organized in delayed packets exchanged during a short transmission session. This approach significantly reduces the contribution to the total power consumption from the communication module. The prototype was based on the PXA-270 development kit, but due to very low power consumption (0,5 mW) the migration to a more compact system is considered.