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Proceedings of the 15th International Conference on Ubiquitous Computing

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Cover of 'Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023)'

Table of Contents

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    Book Overview
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    Chapter 1 Reinforcement Learning Model in Automated Greenhouse Control
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    Chapter 2 Performance Evaluation of Face Detection Algorithms for an Emotion Recognition Application in a School in the Department of Nariño - Colombia
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    Chapter 3 An Open Framework for Nonverbal Communication in Human-Robot Interaction
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    Chapter 4 A First Approach to the Generation of Linguistic Summaries from Glucose Sensors Using GPT-4
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    Chapter 5 Efficient and Accountable Industry 5.0 Production Scheduling Mechanism for Mass Customization Scenarios
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    Chapter 6 Non-invasive Synthesis from Vision Sensors for the Generation of 3D Body Landmarks, Locations and Identification in Smart Environments
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    Chapter 7 A Model to Support the Prediction of Indicators in the Diagnosis and Intervention of Autism Spectrum Disorder
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    Chapter 8 ADLnet: A 1d-CNN for Activity of Daily Living Recognition in Smart Homes
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    Chapter 9 NeeMAS: A Need-Based Multi-agent Simulator of Human Behavior for Long-Term Drifts in Smart Environments
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    Chapter 10 Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks
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    Chapter 11 Understanding Students’ Perspectives About Human-Building Interactions in the Context of Smart Buildings
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    Chapter 12 IoT-Driven Real-Time Glucose Monitoring: Empowering Diabetes Care and Prevention
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    Chapter 13 Edge IoT System for Wearable Devices: Real-Time Data Processing, Inference, and Training for Activity Monitoring and Health Evaluation
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    Chapter 14 Analysing Requirements Specification Languages for Self-adaptive AAL Systems
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    Chapter 15 A Deep Learning and Probabilistic Approach to Recognising Activities of Daily Living with Privacy Preserving Thermal Sensors
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    Chapter 16 Using Synthetic Data to Improve the Accuracy of Human Activity Recognition
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    Chapter 17 Smart-Lab IoT Research Platform with Modern Open Source Components
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    Chapter 18 Secure, Transparent, Supply Chain Supporting Agri-Food Provenance and Sustainability
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    Chapter 19 Dataset Generation and Study of Deepfake Techniques
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    Chapter 20 Understanding the Association of Driving Safety and Visual Behaviors Collected Through Smart Sensing Technology
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    Chapter 21 Clustering ABI Patients for a Customized Rehabilitation Process
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    Chapter 22 Comparative Study of Large Language Models as Emotion and Sentiment Analysis Systems: A Case-Specific Analysis of GPT vs. IBM Watson
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    Chapter 23 Meta-learning. An Approach Applied to Clinical Data
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    Chapter 24 Bridging the Gap: Enhancing Geospatial Analysis with Natural Language and Scenario Generation Language
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    Chapter 25 DAKTILOS: An Interactive Platform for Teaching Mexican Sign Language (LSM)
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    Chapter 26 Evaluation of Four Classification Algorithms Applied to Detection of Poisonous Mushrooms
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    Chapter 28 Traceable Health Data for Consciously Trained ML Models
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    Chapter 29 Viric Learning - A Novel Transfer Learning Method
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    Chapter 30 Granular Linguistic Model Based Multimodal Data Integration for Automated Evaluation of Core Soft Skills
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    Chapter 31 Understanding the Role of the User in Information Propagation on Online Social Networks: A Literature Review and Proposed User Model
Attention for Chapter 16: Using Synthetic Data to Improve the Accuracy of Human Activity Recognition
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Chapter title
Using Synthetic Data to Improve the Accuracy of Human Activity Recognition
Chapter number 16
Book title
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023)
Published in
Lecture Notes in Networks and Systems, January 2023
DOI 10.1007/978-3-031-48642-5_16
Book ISBNs
978-3-03-148641-8, 978-3-03-148642-5
Authors

Liaquat, Majid, Nugent, Chris, Cleland, Ian

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2023.
All research outputs
#15,925,391
of 25,992,468 outputs
Outputs from Lecture Notes in Networks and Systems
#1
of 1 outputs
Outputs of similar age
#220,932
of 482,636 outputs
Outputs of similar age from Lecture Notes in Networks and Systems
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 482,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them