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Publications

2017

Fabry-Perot cavity based on polymer FBG as refractive index sensor

Authors
Ferreira, MFS; Statkiewiez Barabach, G; Kowal, D; Mergo, P; Urbanczyk, W; Frazao, O;

Publication
OPTICS COMMUNICATIONS

Abstract
The use of a polymer fiber as a refractive index sensor is proposed. A fiber Bragg grating is inscribed near the fiber tip and the fiber is cut shorter thus creating a Fabry-Perot cavity. The reflections between the fiber Bragg grating and the fiber end-face create a Fabry-Perot interferometer. The sensor was characterized to refractive index changes at constant temperature and to temperature at constant refractive index using a fast Fourier transform analysis of the interference signal. The sensor revealed a sensitivity of-1. 94 RIU-1 with a resolution of lx10(-3)RITJ and low sensitivity to temperature, with a cross sensitivity to temperature of 3. 6x10(-4)RIU/degrees C.

2017

On the relevance of F0, Jitter, Shimmer and HNR acoustic parameters in forensic voice comparisons using GSM, VOIP and contemporaneous high-quality voice recordings

Authors
Fernandes, V; Ferreira, A;

Publication
Proceedings of the AES International Conference

Abstract
GSM and VOIP telephonic voice recordings are frequently used in forensic voice comparisons. However, speech compression, enhancement and error correction algorithms are likely to modify speaker specific voice characteristics. We performed high-quality voice recordings and concomitant GSM and VOIP telephonic voice recordings so that clean high-quality and telephonic versions of the same speech are available. Sustained vowel tasks are also included allowing F0 (AVG and STD), Jitter, Shimmer and HNR extraction for pairs of contemporaneous recordings. Twenty female and seventeen male volunteer subjects participated in the study. We describe the voice recording experiments, present results for five vowels and five acoustic parameters for each subject in GSM and VOIP communication, and we discuss the implications of the main results.

2017

Assessment of Microsoft Kinect in the Monitoring and Rehabilitation of Stroke Patients

Authors
Abreu, J; Rebelo, S; Paredes, H; Barroso, J; Martins, P; Reis, A; Amorim, EV; Filipe, V;

Publication
RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2

Abstract
Telerehabilitation is an alternative way for physical therapy of stroke patients. The monitoring and correction of exercises can be done through the analysis of body movements recorded by an optical motion capture system. This paper presents a first study to assess the use of Microsoft Kinect in the monitoring and rehabilitation of patients who have suffered a stroke. A comparative study was carried out to assess the accuracy of joint angle measurement with the Microsoft Kinect (for Windows and for Xbox One) and Optitrack (TM). The results obtained in the first experiment showed a good agreement in the measurements between the three systems, in almost all movements. These results suggest that Microsoft Kinect, a low cost and markerless motion capture system, can be considered as an alternative to complex and high cost motion capture devices for the monitoring and rehabilitation of stroke patients.

2017

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings

Authors
Cardoso, MJ; Arbel, T; Carneiro, G; Syeda Mahmood, TF; Tavares, JMRS; Moradi, M; Bradley, AP; Greenspan, H; Papa, JP; Madabhushi, A; Nascimento, JC; Cardoso, JS; Belagiannis, V; Lu, Z;

Publication
DLMIA/ML-CDS@MICCAI

Abstract

2017

WebProcessPAIR: recommendation system for software process improvement

Authors
Raza, M; Faria, JP; Amaro, L; Henriques, PC;

Publication
Proceedings of the 2017 International Conference on Software and System Process, Paris, France, ICSSP 2017, July 5-7, 2017

Abstract
ProcessPAIR is a novel tool for helping software developers analyzing their personal performance. Based on a performance model calibrated from the anonymized performance data of many developers and the performance data submitted by an individual developer, it automatically identifies and ranks potential performance problems and their root causes for that developer. In this work we present WebProcessPAIR, which extends ProcessPAIR with the ability to recommend improvement actions to address the root causes identified, based on a crowdsourcing approach. A case study illustrates WebProcessPAIR usage. © 2017 Association for Computing Machinery.

2017

ICARUS Training and Support System

Authors
Bedkowski, J; Majek, K; Pelka, M; Maslowski, A; Coelho, A; Goncalves, R; Baptista, R; Sanchez, JM;

Publication
Search and Rescue Robotics - From Theory to Practice

Abstract

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