Avijoy Chakma
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View article: VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition Open
Technological advancements have led to the rise of wearable devices with sensors that continuously monitor user activities, generating vast amounts of unlabeled data. This data is challenging to interpret, and manual annotation is labor-in…
View article: HeteroSys: Heterogeneous and Collaborative Sensing in the Wild
HeteroSys: Heterogeneous and Collaborative Sensing in the Wild Open
Advances in Internet-of-Things, artificial intelligence, and ubiquitous computing technologies have contributed to building the next generation of context-aware heterogeneous systems with robust interoperability to control and monitor the …
View article: A Systematic Study on Object Recognition Using Millimeter-wave Radar
A Systematic Study on Object Recognition Using Millimeter-wave Radar Open
Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have integrated such capabilities. Industry-grade MMW radars are ex…
View article: Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey Open
Machine learning-based wearable human activity recognition (WHAR) models enable the development of various smart and connected community applications such as sleep pattern monitoring, medication reminders, cognitive health assessment, spor…
View article: Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective
Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective Open
The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with wearable and contactless sensors aimed at tackling real‐world problems warrants a pedagogical study to understand all the aspects of this research di…
View article: PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment
PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment Open
Intelligent and complex human motion analysis can help design the next generation IoT and AR/VR systems for automated human performance assessment. Such an automated system can help advocate the interpretability and translatability of comp…
View article: Semi-supervised Multi-source Domain Adaptation in Wearable Activity Recognition
Semi-supervised Multi-source Domain Adaptation in Wearable Activity Recognition Open
The scarcity of labeled data has traditionally been the primary hindrance in building scalable supervised deep learning models that can retain adequate performance in the presence of various heterogeneities in sample distributions. Domain …