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Details

Details

  • Name

    José Alexandre Gonçalves
  • Role

    External Research Collaborator
  • Since

    01st June 2009
Publications

2024

Angle Assessment for Upper Limb Rehabilitation: A Novel Light Detection and Ranging (LiDAR)-Based Approach

Authors
Klein, LC; Chellal, AA; Grilo, V; Braun, J; Gonçalves, J; Pacheco, MF; Fernandes, FP; Monteiro, FC; Lima, J;

Publication
SENSORS

Abstract
The accurate measurement of joint angles during patient rehabilitation is crucial for informed decision making by physiotherapists. Presently, visual inspection stands as one of the prevalent methods for angle assessment. Although it could appear the most straightforward way to assess the angles, it presents a problem related to the high susceptibility to error in the angle estimation. In light of this, this study investigates the possibility of using a new approach to angle calculation: a hybrid approach leveraging both a camera and LiDAR technology, merging image data with point cloud information. This method employs AI-driven techniques to identify the individual and their joints, utilizing the cloud-point data for angle computation. The tests, considering different exercises with different perspectives and distances, showed a slight improvement compared to using YOLO v7 for angle calculation. However, the improvement comes with higher system costs when compared with other image-based approaches due to the necessity of equipment such as LiDAR and a loss of fluidity during the exercise performance. Therefore, the cost-benefit of the proposed approach could be questionable. Nonetheless, the results hint at a promising field for further exploration and the potential viability of using the proposed methodology.

2024

Assessing the Reliability of AI-Based Angle Detection for Shoulder and Elbow Rehabilitation

Authors
Klein, LC; Chellal, AA; Grilo, V; Gonçalves, J; Pacheco, MF; Fernandes, FP; Monteiro, FC; Lima, J;

Publication
Optimization, Learning Algorithms and Applications

Abstract

2024

Energy Efficiency Analysis of Differential and Omnidirectional Robotic Platforms: A Comparative Study

Authors
Chellal, AA; Braun, J; Junior, LB; Faria, M; Kalbermatter, RB; Gonçalves, J; Costa, P; Lima, J;

Publication
Lecture Notes in Networks and Systems

Abstract

2023

Mobile Application Development for Human Veterinary Resources Management in a Low Density Population Context: Promoting Students Engagement by Working with the Community

Authors
Matos, P; Velasco, H; Gonçalves, J;

Publication
Lecture Notes in Educational Technology

Abstract
This paper describes a mobile application, developed in an educational context, by the students of the Degree in Computer Engineering of the Instituto Politécnico de Bragança, allowing them to develop skills, based on real-world community problems solving, promoting by this way its engagement, and, at the same time, provide a solution to an effective need of the local community. The developed application has as goal to support the Human Veterinary Resources Management in a Low Density Population Context. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2023

Robot Development for Educational Purposes: Advances on Real and Simulation Environments

Authors
de Jesus Soares Marta, E; Gonçalves, J; Lima, J;

Publication
Lecture Notes in Educational Technology

Abstract
Nowadays, Automated Guides Vehicles and Autonomous Mobile Robots are equipped with electromagnetic or optical automatic guiding devices and can navigate, interact, perform path planning and avoid obstacles. It is crucial to develop applications to support the teaching by real and/or simulated robots. In this paper the authors propose a simulation of an AGV system, that uses localization based on mounted cameras for positioning and control by a central system. Also, a real robot prototype is proposed. The mobile robot should reach the destination point precisely and kept inside the desired margins, avoiding collisions. The presented results show the developed system in operation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.