Read the past, Record the present, Sense the future

SN Lab


The scope of research in the Sensor Networks Laboratory includes data acquisition, signal processing and AI applications. Our efforts are oriented towards the acquisition and processing of physiological signals in biomedical and ergonomic applications. We develop resources, methods, models and technological prototypes aiming at improving the quality of live in smart home and work environment.  Particular interest includes human emotion recognition, stress detection, cognitive load assessment and other related functionality that supports the development of human friendly environments.


Our slogan is "Read the past, Record the present, Sense the Future".
SN Lab

Our team


Kalin Kalinkov

Lab Member

Asst. Prof. Kalin Kalinkov,PhD Student is member of the Sensor Networks Laboratory at the Department of Communication Engineering and Technologies, Technical University of Varna.

Read More

Valentina Markova

Lab Head

Assoc. Prof. Valentina Markova, PhD is the Head of the Sensor Networks Laboratory at the Department of Communication Engineering and Technologies, Technical University of Varna.

Read More

Publications


Projects


BIA2020


The second edition of International Conference on Biomedical Innovations and Applications - BIA-2020 (to be held September 24 - 27, 2020, Varna, Bulgaria) aims to bring together researchers and professionals active in the fields of Biomedical Engineering and Information and Communications Technology and will offer new opportunities to foster the exchange ideas and international collaborations.

Accepted papers will be submitted for inclusion into IEEE Xplore. All conference papers included in IEEE Xplore will be indexed in the SCOPUS database.

International Conference on Biomedical Innovations and Applications - BIA-2019.

Call for papers


BIA 2020 (to be held September 24 - 27, 2020) is organized and sponsored by Technical University of Varna and technically supported by IEEE and IEEE Bulgaria CAS/SSC Joint Chapter.

Indexing: Accepted papers will be submitted for inclusion into IEEE Xplore . All conference papers included in IEEE Xplore will be indexed in the SCOPUS database.

Important dates: 

  • Full Paper Submission: 01.06.2020
  • Acceptance Notification: 30.06.2020
  • Final paper submission: 30.07.2020

Paper submissions: We invite authors to submit original work of up to 4 pages. All submissions should be in English language. Each submission will be reviewed by at least two reviewers. Each author can appear in more than one paper. 

The submission of papers is handled through the Easy Chair conference management system.

Paper Templates: All submissions must follow the MS Word or LaTeX IEEE manuscript templates provided by IEEE eXpress Conference Publishing:

Download Manuscript Templates


Ethical Requirements: 

  • Each submission should present original work on a BIA-related topic.
  • Plagiarism check will be performed before inclusion in the IEEE Xplore Digital Library.
  • Each paper have to be presented by one of the authors.

Topics



  • Artificial Intelligence and Machine Learning Applications
  • Bioelectronics and Biomedical Engineering Applications
  • Biomedical Signal and Image Processing
  • Biosensors and Personal Sensor Networks
  • Computational Biomechanics
  • Environmental Sensors and Ergonomics
  • Healthcare Applications
  • Information and Communication Technology
  • Information Technology Innovations
  • Innovative Materials in Biomedical Engineering
  • Internet of Things and Big Data
  • Sensors Applications
  • Smart Systems
  • Wearable Technology and Innovations



Organizers


                             

Conference Chairman 

Prof. Todor Ganchev - Technical University of Varna, Bulgaria

Technical Co-Chair

Assoc. Prof. Valentina Markova - Technical University of Varna, Bulgaria


Organizing Committee:

Prof. Vencislav Valchev - Technical University of Varna, Bulgaria

Prof. Karl Gudmundsson - University of Iceland - Háskóli Íslands, Iceland

Dr. Otilia Kocsis - University of Patras, Greece

Prof. Dagan Feng - University of Sydney, Australia

Assoc. Prof. Rossitza Goleva - IEEE Section Bulgaria

Assoc. Prof. Kiril Alexiev - IEEE Section Bulgaria

Assoc. Prof. Iosif Mporas - University of Hertfordshire, UK

Dr. Sonya Vachinska - Technical University of Varna, Bulgaria

Eng. Kalin Kalinkov - Technical University of Varna, Bulgaria

Eng. Prolet Deneva - Technical University of Varna, Bulgaria


Program Committee: 

Prof. Ivan Ganchev - University of Limerick, Ireland; University of Plovdiv “Paisii Hilendarski”, BULGARIA 

Prof. Evelina Pencheva – Technical University of Sofia, Bulgaria

Prof. Ivaylo Atanasov – Technical University of Sofia, Bulgaria

Assoc. Prof. Valentina Markova - Technical University of Varna, Bulgaria

Assoc. Prof. Rossitza Goleva - IEEE Section Bulgaria

Assoc. Prof. Kiril Alexiev - IEEE Section Bulgaria

Assoc. Prof. Iosif Mporas - University of Hertfordshire, UK

Dr. Theodoros Kostoulas - Bournemouth University, UK

Dr. Otilia Kocsis - University of Patras, Greece

Dr. Firgan Feradov - Technical University of Varna, Bulgaria


Registration


Conference Fee

  • Regular Fee before July 15, 2020- 250 EUR
  • Regular Fee after July 15, 2020 - 280 EUR
  • On site payment of the registration fee (on 24.09) - 300 EUR
  • Student Fee before July 15, 2020 - 130 EUR
  • Student Fee after July 15, 2020 - 180 EUR
  • Additional Paper Fee - 100 EUR
  • Participant without paper  - 50 EUR
  • IEEE Members Discount - 15%

The registration fee includes publication fee, conference materials, participation in all sessions, coffee breaks and conference dinner.


Registration Procedure:

1. Please download the BIA registration form from here.

2. Please complete the registration form and send it to the BIA 2020 Organizing Commitee at biaconf@abv.bg.

3. Bank transfer details

Programme


Agenda

Sept. 249:00-10:00
10:00-11:00
11:00-17:00
On site registration
Keynote talk 1
Technical Sessions
Sept. 259:00-10:00
10:00-11:00
19:00

Keynote talk 2
Technical Sessions
Conference Dinner

Sept. 26

10:00-11:00
11:00-16:00

Keynote talk 3
Technical Sessions

Sept. 27

Excursion (not included in the registration fee)         


*The detailed technical programme will become available by the end of August 2020

Venue


Varna is the third-largest city in Bulgaria and the largest city and seaside resort on the Bulgarian Black Sea Coast. Situated strategically in the Gulf of Varna, the city has been a major economic, social and cultural centre for almost three millennia. Varna, historically known as Odessos, grew from a Thracian seaside settlement to a major seaport on the Black Sea.

The city is referred to as the maritime capital of Bulgaria and headquarters the Bulgarian Navy and merchant marine. In 2008, Varna was designated seat of the Black Sea Euroregion by the Council of Europe. In 2014, Varna was awarded the title of European Youth Capital 2017.

Visit the official tourist website of Varna.

Public Transport in Varna.




CLAS


The CLAS (Cognitive Load, Affect and Stress) dataset was conceived as a freely accessible repository which is purposely developed to support research on the automated assessment of certain states of mind and the emotional condition of a person. This resource is intended to support RTD activities aiming at the development of intelligent human computer interaction (HCI) interfaces that incorporate functionalities allowing for the automated recognition of human emotions, the automated detection of stress conditions, the automated assessment of the degree of concentration, cognitive load, and momentary cognitive capacity, and can account for some personality traits related to the ability to quickly solve logical and mathematical problems under strict time constraints. These and other related functionalities open additional opportunities in support of the advancement of research on (i) intelligent human-machine interfaces in entertainment, e-Health, e-Learning, e-Government and other applications; (ii) improving the efficiency of human-robot collaboration systems; (iii) risk assessment and management systems in robotics and in high-risk professions (rescue crews, military, miners etc.); and (iv) a wide range of personal applications aiming at the enhancement of health-related quality of life and wellbeing.

The CLAS dataset is a resource of labeled physiological recordings, which contain synchronized ECG, PPG,  EDA and acclerometer signals captured while the test subjects are involved in some purposely designed interactive or perceptive task. Specifically, the interactive tasks are designed to evaluate different aspects of the momentary cognitive load, the degree of attention and concentration, or the cognitive capacity of a person. Specifically, in the interactive tasks the test subject is presented with a set of purposely designed mathematical and logical problems with the strict requirement for prompt response within a short time window.In the perceptive tasks, the test subjects are exposed to a series of carefully selected stimuli which aim to elicit emotions. In the perceptive tasks the test subjects typically receive instructions to simply watch the images or to follow the video clips. More details here.

Although the particular focus of our research is on the states of mind associated with negative emotions, mental strain and high cognitive effort, the CLAS dataset could offer an adequate support to research of a wider scope, such as general studies on attention assessment, cognitive load assessment, emotion recognition, as well as stress detection.

You can freely access a sample (PPG, ECG, EDA, Accelerometer) from here.

For receiving access to the whole CLAS dataset, please follow the procedure bellow:

  1. To receive the password for the dataset, please sign the EULA , scan it and send it back via this form or via email available at the Contact page, if the form is not accessible at the time of signing.
  2. We will send you the password within three working days
  3. Download the CLAS Dataset1 (password protected).

1Compressed size - 2.03 GB, Uncompressed size - 13.9 GB,  we recommend using 7-zip for extraction.

Events


Students Area


Contact


  • Technical University - Varna, ул. Студентска, Варна