Projects

PDLab: the Proxemics Data Lab (2016-2018)

The Proxemics Data Lab@COPELABS

Principal Investigator: Rute C. Sofia

This project is supported by Fundação para a Ciência e Tecnologia (2016-2018) and by COPELABS, University Lusófona, reference number UID/MULTI/04111/2016.

In the Proxemics Data Lab, COPELABS works on behavior correlation/inference via pervasive, non-intrusive technology (short range wireless); study proxemics and relation/impact on well-being and quality of living.

 

Scientific Contributions:

  • Saeik Firdose, Luis Amaral Lopes, Waldir Moreira, Rute C. Sofia and Paulo Mendes, NSense v1.0, COPE-SITI-SW-16-02, 2016
  • Igor Santos, R. Sofia. PerSense Mobile Light. Senception Lda, 2016

 

Data Sets:

  • M. Tavares, S. Dattagupta, R. Sofia. Relative Distance Measurement with NSense. 2017.11
    We have carried out a set of experiments with our middleware NSense installed on three devices and carried by three different individuals. Each experimental scene involved 2 devices (e.g., User1 to User2 or User3 to User1 readings) positioned in different locations, indoor or outdoor, on the same floor or in different floors, within and without LoS.
  • M. Tavares, P.Mendes, R. Brito. Nearness and Interests Traces. 2017.04
    This experiment has been carried out with the COPELABS sensing middleware NSense in the context of an experiment performed with psychology students, in two different institutions, where the purpose was to study interest influence in psychological proximity. NSense has been installed in Android smartphones carried by a population of 50 students of the two different universities, numbered User1 to User50. The students carried NSense around during their daily routines, for 2 days: 05.04.2017-06.04.2017. The readings obtained show a total of 15 students out of the original universe of 50.
  • S. Firdose, L. Lopes, W. Moreira, R. Sofia, P. Mendes. Data concerning social interaction and propinquity based on wireless and bluetooth. 2017.01.27

    This dataset comprises experiments carried out with the open-source middleware NSense (fomerly named as USense), available at https://github.com/COPELABS-SITI/NSense. The data has been collected based on four sensors: bluetooth; Wi-Fi; microphone; accelerometer. NSense then relies on four different pipelines to compute aspects such as relative distance (Wi-Fi); social strength (based on bluetooth contact duration); sound activity level; motion.
  • S. Firdose, L. Lopes, W. Moreira, R. Sofia, P. Mendes. Data concerning social interaction and propinquity. 2016.03.17
    This data set comprises experiments carried out considering four Android devices, each named Usense 2, 3, 4, and 5, respectively. These devices were carried by people sharing the same affiliation during their daily routines (commuting between home and office, going to leisure activities, attending meetings in the office). All the data was collected each and every one minute.
  • Saeik Firdose, Luis Amaral Lopes, Waldir Moreira, Paulo Mendes and Rute C. Sofia, NSense traces, social interaction and propinquity analysis, 2015

Highlights

News

03.2019: Accepted Paper, European Control Conference 2019

Henry, D.; Cieslak, J.; Colmenarejo, P.; Branco, J.; Santos, N.; Serra, P.; Telaard, J.; Strauch, H.; Giordano, A. M.; De Stefano, M.; Ott, C.; Reiner, M.; Jaworski, J.; Papadopoulos, E.; Visentin, G.; Ankersen, F.; Fernandez, J.G.Model-based fault diagnosis and tolerant control: the ESA’s e.Deorbit mission

03.2019: Accepted paper, MDPI Future Internet 2019, Special issue on ICN

Sofia, Rute C.; Mendes, Paulo. An Overview on Push-based Communication Models for Information-Centric Networking

02.2019: New IRTF ICNRG draft

Mendes, Paulo; Sofia, Rute C.; Tsaoussidis, Vassilis; Diamantopoulos, Sotiris; Borrego, Carlos; Borrel, Joan; Sarros, Christos-Alessandros. nformation-centric Routing for Opportunistic Wireless Networks.

01.2019: Accepted paper, Sensors 2019, Special Issue on Wireless Location Tracking

Stankovic, S. S.; Stankovic, Milos; Johansson, Karl H.; Beko, Marko. On Consensus-based Distribution Blind Calibration of Sensor Networks

11.2018: Rute C. Sofia becomes Associate Editor of IEEE Access

11.2018: Accepted paper MDPI Sensors 2018, Special Issue on Wireless Location Tracking

Correia, Sergio; Beko, Marko; Cruz, Luis A. da Silva; Tomic, Slavisa. Elephant Herding Optimization for Energy-Based Localization

11.2018: Accepted paper Sensors 2018, Special Issue on Wireless Location Tracking

Tomic, Slavisa; Beko, Marko. Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements

11.2018: Results of the CEEC/COPELABS/JUNIOR2018: Prof. Dr. Pedro Sá Costa admitted.

10.2018: Rute C. Sofia becomes an IEEE Senior member

10.2018: Invited Talk: Cooperative wireless networking: Research challenges, P. Mendes, @LakesideLabs, University of Klagenfurt, Austria

09.2018: Accepted paper, ACM ICN 2018

P. Mendes, R. Sofia, V. Tsaoussidis, S. Diamantopoulos, J. Soares,Information-centric routing for opportunistic wireless networks. InProc. ACM ICN 2018, Sep. 2018.

09:2018: Accepted paper, IEEE WiMob

09.2018:C-BRAINs 2018/2019

C-BRAINS for 2018/2019 are out!

07.2018: Ciencia 2018

People-to-people Communication in Emergency Scenarios, P. Mendes, R. Sofia, M. Tavares, O. Aponte

06.2018: UMOBILE project

POC2 - information-centric communication in opportunistic scenarios, P. Mendes, M. Tavares, O. Aponte, R. Sofia, J. Soares

05.2018

UMOBILE Demo in Italy, Umbria

04.2018 Accepted Book Chapter

 Rute C. Sofia, Liliana I. Carvalho., Francisco de Melo Pereira, Samrat Dattagupta.The Role of Smart Data in Inference of Human Behavior and Interaction. Book chapter. "Smart Data: State-of-the-Art and Perspectives in Computing and Applications".

03.2018 IRTF draft DABBER

Information-centric Routing for Opportunistic Wireless Networks

 

 

 

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