@article{ART003283209},
author={Hye-Jin Park and KANG INHYEOK and SOLBEE LEE and Kwon Jung-Hyok and EUIJIK KIM},
title={Large Language Model-Integrated Human Activity Recognition System Using Channel State Information},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={6},
pages={12}
TY - JOUR
AU - Hye-Jin Park
AU - KANG INHYEOK
AU - SOLBEE LEE
AU - Kwon Jung-Hyok
AU - EUIJIK KIM
TI - Large Language Model-Integrated Human Activity Recognition System Using Channel State Information
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 6
PB - The Korea Internet of Things Society
SP - 12
EP -
SN - 2466-0078
AB - This paper presents a Human Activity Recognition(HAR) system integrated with a Large Language Model(LLM) using Channel State Information(CSI) in Internet of Things(IoT) environments. The main goal of the proposed system is to infer user activity through HAR analysis using CSI collected from IoT devices and generate personalized feedback using LLM. The proposed system constructs prompts based on the HAR results and the duration of the corresponding activities. During this process, the current activity state, task-specific requirements, and desired feedback length are considered to ensure the accuracy and consistency of the LLM outputs. The generated prompt is processed by the LLM-based feedback engine and converted into natural-language feedback appropriate to the user's activity. This feedback is then provided in real time through a web interface. To evaluate the feasibility of the proposed system, we conducted an experimental implementation. The results demonstrated the reliable operation of the entire process, from CSI-based activity recognition to LLM-based feedback generation.
KW - Large Language Model;Internet of Things;Personalized Feedback;Human Activity;Recognition;Channel State Information
DO -
UR -
ER -
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok and EUIJIK KIM. (2025). Large Language Model-Integrated Human Activity Recognition System Using Channel State Information. Journal of Internet of Things and Convergence, 11(6), 12.
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok and EUIJIK KIM. 2025, "Large Language Model-Integrated Human Activity Recognition System Using Channel State Information", Journal of Internet of Things and Convergence, vol.11, no.6 12.
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok, EUIJIK KIM "Large Language Model-Integrated Human Activity Recognition System Using Channel State Information" Journal of Internet of Things and Convergence 11.6 12 (2025) : 12.
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok, EUIJIK KIM. Large Language Model-Integrated Human Activity Recognition System Using Channel State Information. 2025; 11(6), 12.
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok and EUIJIK KIM. "Large Language Model-Integrated Human Activity Recognition System Using Channel State Information" Journal of Internet of Things and Convergence 11, no.6 (2025) : 12.
Hye-Jin Park; KANG INHYEOK; SOLBEE LEE; Kwon Jung-Hyok; EUIJIK KIM. Large Language Model-Integrated Human Activity Recognition System Using Channel State Information. Journal of Internet of Things and Convergence, 11(6), 12.
Hye-Jin Park; KANG INHYEOK; SOLBEE LEE; Kwon Jung-Hyok; EUIJIK KIM. Large Language Model-Integrated Human Activity Recognition System Using Channel State Information. Journal of Internet of Things and Convergence. 2025; 11(6) 12.
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok, EUIJIK KIM. Large Language Model-Integrated Human Activity Recognition System Using Channel State Information. 2025; 11(6), 12.
Hye-Jin Park, KANG INHYEOK, SOLBEE LEE, Kwon Jung-Hyok and EUIJIK KIM. "Large Language Model-Integrated Human Activity Recognition System Using Channel State Information" Journal of Internet of Things and Convergence 11, no.6 (2025) : 12.
