Transfer learning enhanced vision-based human activity recognition: a decade-long analysis
The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …
way to extend the reach of humans in various real-world applications. Classical machine …
Literature review on transfer learning for human activity recognition using mobile and wearable devices with environmental technology
Activity recognition systems utilise data from sensors in mobile, environmental and wearable
devices, ubiquitously available to individuals. It is a growing research area within intelligent …
devices, ubiquitously available to individuals. It is a growing research area within intelligent …
Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems
Occupant behavior plays an important role in the evaluation of building performance.
However, many contextual factors, such as occupancy, mechanical system and interior …
However, many contextual factors, such as occupancy, mechanical system and interior …
Human activity recognition for production and logistics—a systematic literature review
This contribution provides a systematic literature review of Human Activity Recognition for
Production and Logistics. An initial list of 1243 publications that complies with predefined …
Production and Logistics. An initial list of 1243 publications that complies with predefined …
Transfer learning and its extensive appositeness in human activity recognition: A survey
A Ray, MH Kolekar - Expert Systems with Applications, 2023 - Elsevier
In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …
and necessary tasks to drive context-aware applications. Advancement in sensor and …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
Transfer learning in human activity recognition: A survey
SG Dhekane, T Ploetz - arXiv preprint arXiv:2401.10185, 2024 - arxiv.org
Sensor-based human activity recognition (HAR) has been an active research area, owing to
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …
Active deep learning for activity recognition with context aware annotator selection
HMS Hossain, N Roy - Proceedings of the 25th ACM SIGKDD …, 2019 - dl.acm.org
Machine learning models are bounded by the credibility of ground truth data used for both
training and testing. Regardless of the problem domain, this ground truth annotation is …
training and testing. Regardless of the problem domain, this ground truth annotation is …
Automated class discovery and one-shot interactions for acoustic activity recognition
Acoustic activity recognition has emerged as a foundational element for imbuing devices
with context-driven capabilities, enabling richer, more assistive, and more accommodating …
with context-driven capabilities, enabling richer, more assistive, and more accommodating …
Quantum-inspired support vector machines for human activity recognition in Industry 4.0
Abstract In Industry 4.0, robots and humans share roles and responsibilities. Many
industries, such as manufacturing and logistics, still depend heavily on manual labor …
industries, such as manufacturing and logistics, still depend heavily on manual labor …