Emotion ontology studies: A framework for expressing feelings digitally and its application to sentiment analysis

EH Park, VC Storey - ACM Computing Surveys, 2023 - dl.acm.org
Emotion ontologies have been developed to capture affect, a concept that encompasses
discrete emotions and feelings, especially for research on sentiment analysis, which …

Contextual activity based Healthcare Internet of Things, Services, and People (HIoTSP): An architectural framework for healthcare monitoring using wearable sensors

SA Khowaja, AG Prabono, F Setiawan, BN Yahya… - Computer Networks, 2018 - Elsevier
Healthcare industry is gaining a lot of attention due to its technological advancement and the
miniaturization in the form of wearable sensors. IoT-driven healthcare industry has mainly …

CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments

SA Khowaja, BN Yahya, SL Lee - Human-centric Computing and …, 2020 - Springer
The existing action recognition systems mainly focus on generalized methods to categorize
human actions. However, the generalized systems cannot attain the same level of …

VIRFIM: an AI and Internet of Medical Things-driven framework for healthcare using smart sensors

SA Khowaja, P Khuwaja, K Dev, G D'Aniello - Neural Computing and …, 2023 - Springer
After affecting the world in unexpected ways, the virus has started mutating which is evident
with the insurgence of its new variants. The governments, hospitals, schools, industries, and …

Towards a semantic indoor trajectory model: application to museum visits

A Kontarinis, K Zeitouni, C Marinica, D Vodislav… - GeoInformatica, 2021 - Springer
In this paper we present a new conceptual model of trajectories, which accounts for
semantic and indoor space information and supports the design and implementation of …

Content and quality of physical activity ontologies: a systematic review

M Braun, S Carlier, F De Backere, A De Paepe… - International Journal of …, 2023 - Springer
Introduction Ontologies are a formal way to represent knowledge in a particular field and
have the potential to transform the field of health promotion and digital interventions …

Cognitive engine for augmented human decision-making in manufacturing process control

PM Wong, CK Chui - Journal of Manufacturing Systems, 2022 - Elsevier
A pre-planned production workflow may need to adapt to instantaneous states of resources,
materials, and workpieces. This adaptation poses an additional challenge when multiple …

TAO: Context Detection from Daily Activity Patterns Using Temporal Analysis and Ontology

S Boovaraghavan, P Patidar, Y Agarwal - Proceedings of the ACM on …, 2023 - dl.acm.org
Translating fine-grained activity detection (eg, phone ring, talking interspersed with silence
and walking) into semantically meaningful and richer contextual information (eg, on a phone …

Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living

AG Salguero, J Medina, P Delatorre… - Journal of Ambient …, 2019 - Springer
Feature construction and selection are two key factors in the field of machine learning (ML).
Usually, these are very time-consuming and complex tasks because the features have to be …

Human emotion: a survey focusing on languages, ontologies, datasets, and systems

MR Elkobaisi, F Al Machot, HC Mayr - SN Computer Science, 2022 - Springer
Emotions are an essential part of a person's mental state and influence her/his behavior
accordingly. Consequently, emotion recognition and assessment can play an important role …