František Jakab

Unobtrusive anomaly detection in presence of elderly in a smart-home environment

In the paper we present a method for anomaly detection in users activities utilizing data from unobtrusive sensors. A service for a smart-home environment using this method adapts to behaviour of a user and may provide alarms to a carer or other responsible person if unusual activity is detected. As an unusual activity we consider: long periods of inactivity, lacking activity, unusual presence and changes in daily activity patterns. Anomaly detection is based on a composition of unsupervised classification technique Self Organizing Maps and next activity prediction employing Markov model. Finally we present a short experimental study realized on a dataset provided by MavHome project.

Approach to Hand Tracking and Gesture Recognition Based on Depth-Sensing Cameras and EMG Monitoring

In this paper, a new approach for hand tracking and gesture recognition based on the Leap Motion device and surface electromyography (SEMG) is presented. The system is about to process the depth image information and the electrical activity produced by skeletal muscles on forearm. The purpose of such combination is enhancement in the gesture recognition rate. As a first we analyse the conventional approaches toward hand tracking and gesture recognition and present the results of various researches. Successive topic gives brief overview of depth-sensing cameras with focus on Leap motion device where we test its accuracy of fingers recognition. The vision-SEMG-based system is to be potentially applicable to many areas of human computer interaction.

Extended Object Tracking and Stream Control Model Based on Predictive Evaluation Metric of Multiple-Angled Streams

Paper describes the design of extended model for tracking and locating object in multi-cameras environment with controlling the streams from multiple angles in real time. Proposed and experimentally implemented solution is attempting to deliver via streaming technology of the only specific shot from scene that has the best view on tracked object in real time. Measurement of the best shot for the tracking object is based on proposed evaluation metric, consisting of dimensional, locational and reliability parameters gathered from object tracking methods. For latency optimization and accuracy of evaluation the prediction of evaluation metric was outlined. Solution is experimentally tested in standard and mobile environment as well. Approach described in this paper is innovative regarding the content related video stream delivery.

Cloud-Based Robots and Intelligent Space Teleoperation Tools

Despite an idea of robotic system teleoperation is a relatively old concept, here we present its enhancements heading to an interconnection of teleoperation and collecting relevant information from the environment where robots act. This environment should be an intelligent space featured with various devices and sensors, which allows to obtain, preprocess and stores data in the cloud. Those data should provide relevant information for teleoperator or directly for robots, which act autonomously. For this purpose, we developed cloud-based tools, named Telescope v2. It is a platform-independent system for remote monitoring and controlling various systems. In this paper, we introduce this system, its abilities, and compare it with its network-based ancestor, Telescope v1. We analyze measurements of latency and response time when our new system is used for teleoperation in different places equipped with various Internet bandwidths.

On the Extraction of Anthropometric Parameters by Visual and Non-visual Means

In this paper the system for collection of anthropometric data is presented, along with the novel techniques for extraction of such data. System is built on selected open-source platform having developed various plugins as a part of the project. Means for extraction follow two approaches: visual and non-visual. The first presumes the acquiring of data from static 2D image, the latter gets data through the direct measurement. Visual approach utilizes several principles following the image processing and related face recognition algorithms. Moreover known anthropometric relations are utilized to estimate other proportions. The output in the form of data of individual user may serve as for statistical comparison with other users. Further such data is to be used for correlation studies with several diseases and changes of overall health condition.

Personal mobile meter for development of human body skeletal model

In this paper, the innovative approach to extraction of the real size of the human body is presented. The prototype device for such extraction process is designed, implemented and tested on larger sample of subjects. The principal goal is the proposal of a solution for creation of exact skeletal human body model. Model dimensions may be further used in numerous use-cases, such as 3D modelling, clothing industry or security. Both, hardware and software, is based on the open-source technologies. The core functionality is enabled by developed hardware module that carries out the measurements of the real scene dimensions. Extracted values may be stored on the device itself or send to another mobile device. The accuracy of the solution proved to be 100 percent in terms of measurement in centimeters.

Adaptive Web-Based System for Examination with Cheating Prevention Mechanism

In this paper, the adaptive web-based system for examination with cheating prevention mechanism is presented. The idea of system was created based on the need to provide impartial evaluation during testing of learners - statistics of cheating during exams from the last decade is rather alarming however not surprising. With the dawn of new technologies cheating is becoming much easier than it used to be, as a natural result certain anti-cheating mechanism has to be deployed. System itself is in nature web-based and thus enables easy and widespread access. Approaches that enable automatic monitoring of learner during an examination were following and enhancing those in previously created systems. As a communication technology over the internet or intranet was utilized WebRTC which enabled to incorporate together various live monitoring capabilities - video, audio, screen of computer. Another feature that is in the center of interest is adaptive selection of questions. This selection is automatically carried out by system and it is based on answers as provided by learner. Deployment in the real environment is expected to be used as a complement that is to enhance education quality and provide automatic impartial evaluation of learner.

System for EKG Monitoring

In this paper the system for the electrocardiogram (EKG) monitoring based on the of Arduino microcontroller is presented. Detailed description of the electrocardiogram itself serves as a ground for building the proposed hardware and software solution. The software implementation is in a form of both, Matlab environment, and own application. Final output enables retrieval of the actual data in real time and further and provide the rudimentary diagnosis. Utilization of such device is for self home diagnosis of arrhythmia.

Validation of XML schema and extraction of human body description format parameters

Abstract In this paper, the development of Extensible Markup Language (XML) schema of newly proposed Human body description format (HBDF) is proposed and further, the software and hardware solution for processing and acquiring the anthropometric parameters of the human body is presented. The analysis covers information on the HBDF format and specific measurement procedures that are associated with the format and together form a coherent structure for the recording of such data. The structure of the format itself is implemented as XML schema, determining the content of XML outputs. Experimental software solution is designed and proves valid in the examination of HBDF structure. The experimental hardware is proposed to introduce new approach to measurement using the physical real-world device. Proposed hardware solution also implements HBDF structure. Schema ensures the data coherency and integrity,while the proposed solution ensures the import, operation, and export of data. The XML schema was experimentally tested as a part of multiple research projects.

Human body description format

Abstract In this paper, the format for the visual description of the human body is presented. The structural data entry of body parameters is considered as relevant due to gaps in this area, as confirmed by several standardization authorities. Research introduced in this paper fills this void through the proposal of the Human Body Description Format, or for short, HBDF. The principal goal is to present a universal technique for parameters entry, processing and storage. Two principal methods for extraction are considered, namely, ISO-based measurements and the traditional tailoring approach. The latter is covered mainly for long term tradition, while the main focus is put on the first type of measurements. The sample set of parameters was selected based on the analysis of both approaches for extraction. This format is designed to utilize XML dialect to store the extracted data. A weighted pseudograph is used for the representation of ISO-based measurements, allowing for further development of the HBDF matrix, being the adjacency matrix of all the parameters. Several other methods for processing the data are proposed such as compressing the matrix, creating a distance matrix, calculating distances, etc. The format was experimentally verified by a set of tests using the prototype measurement device and proves to be valid in terms of research focus.