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Titlebook: Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intellige; Paulo Novais,Vicente Julián Inglada,

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期刊全称Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intellige
影响因子2023Paulo Novais,Vicente Julián Inglada,Ricardo S. Alo
视频video
发行地址Presents the latest research on Ambient Intelligence including software and applications.Includes the outcomes of the 14th International Symposium on Ambient Intelligence (ISAmI 2023).Focuses on offer
学科分类Lecture Notes in Networks and Systems
图书封面Titlebook: Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intellige;  Paulo Novais,Vicente Julián Inglada,
影响因子.This book presents the latest research on Ambient Intelligence (AmI) presented in the 14th International Symposium on Ambient Intelligence (ISAmI 2023). Among others, interested researchers can find works on the recognition of emotions and life conditions; smart applications for improving people’s quality of life and safety; smart cities and territories; as well as advances in data semantics, organization, and privacy, among others..The symposium was organized by the Universidade do Minho (Portugal), the Universitat Politècnica de València (Spain), the University of Granada (Spain), the National Institute of Informatics (Japan), the Instituto Superior de Engenharia do Porto (Portugal), the Universidad de Salamanca (Spain), and with the AIR Institute (Spain) as sponsor.. .The present edition was hosted by the LASI and Centro Algoritmi of the University of Minho in Guimarães (Portugal) from July 12 to 14, 2023.
Pindex Conference proceedings 2023
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An Evaluation of the Performance of Convolution Neural Network and Transfer Learning on Face Gender rios to detect gender. The empirical result based on the study demonstrates that TL outperforms CNN in terms of prediction accuracy, with TL having 95.83% and CNN having 83.11%, and also in terms of recognition time, with TL having 0.23 s and CNN having 0.98 s, amongst other evaluation metrics. The
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Chatto: An Emotionally Intelligent Avatar for Elderly Care in Ambient Assisted Living. Utilizing advanced techniques to recognize facial expressions and analyze voice sentiment, Chatto offers a dynamic and interactive avatar. A key innovation of the proposed solution is the ability for caregivers to personalize the user experience by selecting which of Chatto’s animations are displa
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Human-in-the-loop AAL Approach to Emotion Capture and Classificationthe corresponding emotions, aiming to improve the model’s prediction accuracy for their emotions. The experiments supported the introduction of the user in the image classification process, promoting the creation of reliable labeled for later model training.
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A Portuguese Mobile App for Diabetes Type 2 Self-Management: A Picture of One-Month Usagens or updates were the most performed tasks. However, we observed that the meal summary or meals history are the screens less visualized, which shows that the meals feedback is not used. In summary, the description of one month of interaction with the Food Friend app demonstrates that it’s hard to g
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CERDL: Contextual Emotion Recognition Analysis Using Deep Learning used the Emotions in Context (EMOTIC) [.] and Body Language Dataset (BoLD) [.] datasets for recognizing emotions by taking their contextual information into account. By incorporating contextual factors, machines can enhance human interaction by accurately recognizing emotional states in various sit
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The Impact of Data Selection Strategies on Distributed Model Performancehether selecting data based on their characteristics (meta-features), and optimizing for maximum diversity, improves model quality while, eventually, allowing to reduce model complexity. This will allow to develop more informed data selection strategies in distributed settings, in which the criteria
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https://doi.org/10.1007/978-3-663-16121-9possible to find, no works have been found on the detection physical aggressions or actions using XAI techniques; however, some works have been found in the context of object detection using XAI techniques. This opens the possibility of creating a research line on the detection of physical aggressio
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