Large language models are zero-shot recognizers for activities of daily living
The sensor-based recognition of Activities of Daily Living (ADLs) in smart home
environments enables several applications in the areas of energy management, safety, well …
environments enables several applications in the areas of energy management, safety, well …
Summary of the nurse care activity recognition challenge using skeleton data from video with generative ai
In this paper, we summarize the outcomes of a challenge we organized, where participants
were tasked with evaluating nursing performance in endotracheal suctioning (ES) through …
were tasked with evaluating nursing performance in endotracheal suctioning (ES) through …
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
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 …
computing, and the most effective solutions in the literature are based on supervised deep …
A Synergistic Large Language Model and Supervised Learning Approach to Zero-Shot and Continual Activity Recognition in Smart Homes
N Takeda, R Legaspi, Y Nishimura… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Sensor-based activity recognition in smart homes can provide residents with applications
such as health monitoring and anomaly detection for the elderly. Machine learning models …
such as health monitoring and anomaly detection for the elderly. Machine learning models …
Development of an automatic and knowledge-infused framework for structural health monitoring based on prompt engineering
Collecting and analyzing vibration signals from structures under time-varying excitations is a
non-destructive structural health monitoring approach that can provide meaningful …
non-destructive structural health monitoring approach that can provide meaningful …
Leveraging the Large Language Model for Activity Recognition: A Comprehensive Review
In this paper, we are using comprehensively review the ways in which Large Language
Models (LLMs) advance activity recognition systems, discuss the challenges of …
Models (LLMs) advance activity recognition systems, discuss the challenges of …
ChatAnalysis: Can GPT-4 Undermine Privacy in Smart Homes with Data Analysis?
Abstract Interacting with Large Language Models (LLMs) has become as easy as sending a
text message to a friend, contributing to their widespread use in various fields. We can ask …
text message to a friend, contributing to their widespread use in various fields. We can ask …
FEDERATED PSEUDO-LABEL CORRECTION USING LLM IN SENSOR-BASED HUMAN ACTIVITY RECOGNITION
T Bukit, E Bermudez, BN Yahya, SL Lee - 대한산업공학회추계학술대회 …, 2023 - dbpia.co.kr
Human Activity Recognition (HAR) plays a pivotal role in sectors such as healthcare and
security, with its effectiveness depending on the quality of utilized data. Recently, Federated …
security, with its effectiveness depending on the quality of utilized data. Recently, Federated …
行動関連語によるマイクロ行動の分散表現の検討
笹崎海利， 松井智一， 諏訪博彦… - … 支部支部大会講演論文集, 2023 - ipsj.ixsq.nii.ac.jp
行動関連語によるマイクロ行動の分散表現の検討 Page 1 G-13 2023 年度情報処理学会関西支部
支部大会 行動関連語によるマイクロ行動の分散表現の検討 A Study of Distributed Representation …
支部大会 行動関連語によるマイクロ行動の分散表現の検討 A Study of Distributed Representation …