Results 91 to 100 of about 224,891 (309)
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
Penelitian bertujuan mengetahui pengaruh penggunaan model accelerated learning melalui concept mapping dan mind mapping, kreativitas, kemampuan verbal, dan interaksinya terhadap prestasi belajar biologi.
Lina Artuty Widyasari +2 more
doaj +1 more source
Verbal behaviour development for children with autism
The utility of functional accounts of language development in establishing the emergence of generalised verbal behaviour in children with autism was evaluated through a programme of research that also investigated ways in which interactions between ...
Degli Espinosa, Francesca
core
Intact Inner Speech use in Autism Spectrum Disorder: Evidence from a Short-Term Memory Task [PDF]
Background: Inner speech has been linked to higher-order cognitive processes including ‘theory of mind’, self-awareness and executive functioning, all of which are impaired in Autism Spectrum Disorder (ASD).
Jarrold, C +8 more
core +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
This study investigated the role of memory sensitivity versus recognition criterion in the verbal overshadowing effect (VOE). Lineup recognition data was analysed using ROC analysis to separate the effects of verbalisation on memory sensitivity from ...
Flowe, Heather D.; id_orcid +5 more
core +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
This study aims to determine the effect of contextual learning on mathematics learning outcomes with covariable numerical ability and verbal ability. This research is a quasi experimental research with single factor design of group design with use of ...
Nyoman Ayu Putri Lestari
doaj +1 more source
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source

