Results 31 to 40 of about 22,943,569 (259)
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Objective To discuss the current clinical application and usefulness, shortcomings and future directions of traditional and artificial intelligence (AI)‐driven acoustic assessment techniques to detect voice dysfunction.
Meike Brockmann‐Bauser
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Acoustic Parameters in Persian-Speaking Patients with Dysphonia
Background & Objectives: Studying voice acoustic parameters in vowel production is a crucial component of every standard voice evaluation. Voice Analysis is non-invasive. Nowadays, computerized Voice Analysis is growing rapidly.
Farhad Torabinenezhad +6 more
doaj
The research discusses the identification of human voices based on gender by utilizing the differences in voice characteristics between males and females.
Vita Karenina +2 more
doaj +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source
This paper examines the problem of automatically detecting signs of amyotrophic lateral sclerosis based on the analysis of the acoustic characteristics of a voice signal.
A. V. Mikhnevich, M. I. Vashkevich
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Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Introduction. Parkinson's disease (PD) is a progressive neurodegenerative disorder that directly impacts motor processes, including phonation. Objective. To analyze acoustic, perceptual, and self-assessment vocal parameters in PD patients according to
Gerson Jara Cabrera +3 more
doaj +1 more source

