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Abdelghani Chibani

7 accepted papers

2025

Hyperbolic Transformers with LLMs for Multimodal Human Activity Recognition

IROS 2025

Human Activity Recognition (HAR) plays a crucial role in applications such as healthcare, smart environments, and human-robot interaction. This study proposes a novel Hyperbolic optimization strategy to improve model generalization by leveraging the geometric structure of the parameter space. To eva

Cited by 0SourceScholar
2025

Multimodal Human Activity Recognition with a Large Language Model for Enhanced Human-Robot Interaction

IROS 2025

This paper presents a novel framework for Human Activity Recognition (HAR) by unifying all sensor streams, visual, audio, and inertial, into a single textual domain, enabling the direct application of GPT-3 for multimodal data classification. Unlike traditional pipelines that use dedicated encoders

Cited by 0SourceScholar
2022

Multimodal Evaluation Method for Sound Event Detection

ICASSP 2022accepted

Time is an important dimension in sound event detection (SED) systems. However, evaluating the performance of SED systems is directly taken from the classical machine learning domain, and they are not well adapted to the needs of these systems such as recognizing the time, duration, detection, and u…

Cited by 0SourceScholar
2021

Spatio-Temporal Convolutional Networks and N-Ary Ontologies for Human Activity-Aware Robotic System

RA-L 2021

Endowing a companion robot with cognitive abilities to recognize human daily activities, in particular from body skeletons information, is a significant challenge, which needs complex and novel approaches. Recently, most of the proposed approaches exploit the hand-crafted features or the predefined

Cited by 6SourceScholar
2020

Automatic Classification Error Detection and Correction for Robust Human Activity Recognition

RA-L 2020

One of the main objectives of Ambient Assisted Living (AAL) systems is to proactively provide intelligent services to improve the quality of people's lives in terms of autonomy, safety, and well-being. Designing AAL systems that can autonomously monitor human's activities and provide assistance serv

Cited by 17SourceScholar
2020

Human Gait Phase Recognition using a Hidden Markov Model Framework

IROS 2020poster

Analysis of human daily living activities, particularly walking activity, is essential for health-care applications such as fall prevention, physical rehabilitation exercises, and gait monitoring. Studying the evolution of the gait cycle using wearable sensors is beneficial for the detection of any…

Cited by 8SourceScholar
2018

Hybrid Approach for Human Activity Recognition by Ubiquitous Robots

IROS 2018poster

One of the main objectives of ubiquitous robots is to proactively provide context-aware intelligent services to assist humans in their professional or daily living activities. One of the main challenges is how to automatically obtain a consistent and correct description of human context such as loca…

Cited by 23SourceScholar