Trends in human activity recognition with focus on machine learning and power requirementsHARMachine learningPower consumptionWearable devicesTelemedicineThe advancement and availability of technology can be employed to improve our daily lives. One example is Human Activity Recognition (HAR). HAR research ...
Very little is known about how people self-organize investigations to achieve learning on longer time scales. Natural environments afford a practically infinite number of activities that a curious learner can in principle investigate. However, given the limited time and resources available for investigati...
Resources Digital Learning 5 Learning and development trends 2024 Learning and Development has seen a big change in recent years – the rise in artificial intelligence has caused a stir across all sectors and shown how technology can impact the way people carry out their roles. We have enlis...
The modelling of human-like behaviours is one of the challenges in the field of Artificial Intelligence. Inspired by experimental studies of cultural evolution, the authors propose a reinforcement learning approach to generate agents capable of real-time third-person imitation. Avishkar Bhoopchand Bethan...
Open Education Resources (OER) have been around for some time yet few educators make use of the thousands of free resources available online, mainly due to barriers that include searchability and quality concerns. This is about to change. The next generation of OER will be on platforms that ...
Metacognitive resources for adaptive learning⋆. Neurosci. Res. https://doi.org/10.1016/j.neures.2021.09.003 (2021). Morales, J., Lau, H. & Fleming, S. M. Domain-general and domain-specific patterns of activity supporting metacognition in human prefrontal cortex. J. Neurosci. 38, 3534–...
often assessed via measures ofcomprehensionandtransfer. Thus, these frameworks and their corresponding learning activities are most applicable to conceptual learning materials, such as learning about scientific phenomena (e.g., how the human circulatory system works) and mathematical principles (e.g., ...
Recent trends in machine learning for human activity recognition - A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018, p. e1254.Ramasamy Ramamurthy, S.; Roy, N. Recent trends in machine learning for human activity recognition--A survey. Wiley Interdiscip. Rev. ...
Intriguingly, the resulting representations also predict the specific patterns of ‘successes’ and ‘errors’ in human perception. Linearly decoding specular reflectance from the model’s internal code predicts human gloss perception better than ground truth, supervised networks or control models, and it...
(2018). Machine learning in education—A survey of current research trends. Annals of DAAAM and Proceedings of the International DAAAM Symposium. https://doi.org/10.2507/29th.daaam.proceedings.059 Article Google Scholar Lampropoulos, G. (2023a). Augmented reality and artificial intelligence in ...