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Introduction
Publications
Publications (17)
Assessment of human gait is a useful diagnostic tool for identifying musculoskeletal abnormalities and disorders. Most clinicians use qualitative approaches based on visual observations to analyze gait, leading to repetitive exercises that require subjective evaluation. This study proposes a system to automate and objectify traditional observationa...
AutismAR Discovery focuses on the pre-development and validation of an augmented reality application aimed at supporting the education of children with autism spectrum disorder (ASD). This study utilized a prototype storyboard evaluation and the AttrakDiff survey with a sample of students studying special education at the university from a Panamani...
Gait analysis has proven to be a a key process in the functional assessment of people involving many fields, such as diagnosis of diseases or rehabilitation, and has increased in relevance lately. Gait analysis often requires gathering data, although this can be very expensive and time consuming. One of the main solutions applied in fields when dat...
This study introduces a lightweight storage system for wearable devices, aiming to optimize energy efficiency in long-term and continuous monitoring applications. Utilizing Direct Memory Access and the Serial Peripheral Interface protocol, the system ensures efficient data transfer, significantly reduces energy consumption, and enhances the device...
Introduction
In the scientific research domain, the Open Science movement stands as a fundamental pillar for advancing knowledge and innovation globally. This article presents the design and implementation of the GITCE Open Data Ecosystem (GITCE-ODE) Research Data Management System (RDMS), developed by the Research Group on Emerging Computational T...
In the rapidly evolving domain of conversational agents, the integration of Large Language Models (LLMs) into Chatbot Development Platforms (CDPs) is a significant innovation. This study compares the efficacy of employing generic and fine-tuned GPT-3.5-turbo models for designing dialog flows, focusing on the intent and entity recognition crucial fo...
Sentiment analysis and emotion-detection techniques have wide applications in diverse fields. Various systems such as IBM Watson NLU have been developed for this purpose. Separately, large language models (LLMs) like GPT-3.5 have shown promise for diverse natural language processing (NLP) applications. This study investigates whether an LLM without...
This study investigates the potential of a Large Language Model (LLM) as a Chatbot Development Platform (CDP) for designing dialog systems in the context of conversational agents. While traditional systems often combine rule-based and machine learning approaches via third-party platforms for dialog design, this research explored the utilization of...
The first instrument played by primary school students was their own bodies, utilizing techniques such as hitting, clapping, and rubbing. By employing gesture recognition techniques, body percussion can be controlled by capturing the specific movements required for each percussion exercise. In this paper, an ICT supplement for the study of body per...
Cognitive deficits are very difficult to diagnose during the initial stages; tests typically consist of a patient performing punctual dual-task activities, which are subjectively analyzed to determine the cognitive decline impact on gait. This work supports novel and objective diagnosis methods by stating a baseline on how neurotypical aging affect...
Virtual assistants, agents and social robots are becoming increasingly popular, assisting users in simple daily tasks. However, they are often mere voice-based interfaces to internet. In fact, they can be perceived as unnatural, unreliable and “inhuman” or distant, as they cannot support a fluid conversation and are not empathic. EVA is a socially...
The analysis of human gait has been widely used in the clinical field, e.g., for the early diagnosis of some diseases. On the other hand, it is possible to associate movement patterns during gait with several human behaviors, such as emotions. The main objective of this work is to generate models to classify three discrete emotions: happy, sad, and...
Identification is an important process when we are in collectivity. Thus, we have to adapt technologies to facilitate many functionalities that can be addressed only by means of a simple identification infrastructure. IoT, should covering up this process by means of the traditional accreditation but empowering it with computational and wireless com...
Research over gait analysis has become more relevant in the last years, especially as a tool to detect early frailty signs. However, data gathering is often difficult and requires lots of resources. Synthetic data generation is a great complementary tool for data gathering that enables the augmentation of existing datasets. Despite not being a new...
