Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Development and Validation of Human-Computer Collaborative Classroom Second Language Learning Engagement Scale. [PDF]
Jiang Y, Liu Y.
europepmc +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Neural specialization of print processing in second language learning: A longitudinal ERP study of Chinese children learning English. [PDF]
Huang X +5 more
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Social interaction shapes and boosts second language learning: virtual reality can show us how. [PDF]
Zappa A, Slater M, Rodriguez-Fornells A.
europepmc +1 more source
Second language learners mainly rely on their teachers and the pre-designed textbooks to facilitate their learning. However, due to the diversify language proficiency and interests of the students, teachers always find such learning materials cannot ...
Loh, Elizabeth Ka Yee
core
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
Emotion regulation and perceptions of academic stress as key predictors of academic motivation in second language learning. [PDF]
Liang H, Mao X.
europepmc +1 more source
Plasticity in second language learning: The case of Mandarin tones. [PDF]
Wang T, Potter CE, Saffran JR.
europepmc +1 more source

