Nov 14, 2023 · This paper explores its feasibility with an innovative approach, IoT-sEnsors-language alignmEnt pre-Training (TENT), which jointly aligns textual embeddings ...

Nov 14, 2023 · TENT can not onlyrecognize actions that have been seen but also guess'' the unseen action bythe closest textual words from the feature space. We ...

IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models ... TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition.

Tent: Connect language models with iot sensors for zero-shot activity recognition. Y Zhou, J Yang, H Zou, L Xie. arXiv preprint arXiv:2311.08245, 2023. 8, 2023.

IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models ... TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition.

14 Nov 2023, TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition, Nanyang Technological University ; 24 Nov 2023, GATGPT: A Pre- ...

This leads us to a novel question: can language models connect textual semantics with IoT sensory signals to perform recognition tasks, e.g., Human Activity ...

Oct 12, 2024 · In this work, we bridge the gap between wearable sensor technology and personalized AI assistants by enabling Large Language Models (LLMs) to ...

6 days ago · 2019. IoT wearable sensor and deep learning: An integrated approach for personalized human activity recognition in a smart home environment.

TENT can not only recognize actions that have been seen but also ``guess'' the unseen action by the closest textual words from the feature space. We demonstrate ...