ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models

arXiv:2403.06586v1 Announce Type: new
Abstract: Context-aware Human Activity Recognition (HAR) is a hot research area in mobile computing, and the most effective solutions in the literature are based on supervised deep learning models. However, the actual deployment of these systems is limited by the scarcity of labeled data that is required for training. Neuro-Symbolic AI (NeSy) provides an interesting research direction to mitigate this issue, by infusing common-sense knowledge about human activities and the contexts in which they can be …

abstract arxiv computing context cs.ai cs.cl cs.lg data deep learning deployment hot however human knowledge literature llms mobile mobile computing neuro recognition research solutions systems type