Results 91 to 100 of about 98,840 (263)

The establishment of dynamic microexpression training tool

Frontiers in Psychology
The existing microexpression training tool METT only trains the static microexpression recognition ability under neutral background, but does not train the dynamic microexpression recognition ability under expression backgrounds.
Jianxin Zhang, Jianxin Zhang, Jianxin Zhang, Ning Cai, Lihan Xu, Jinghua Liu, Yichen Li, Xiaodan Wang, Ming Yin, Ming Yin   +9 more
doaj   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

Advanced Robotics Research, EarlyView.
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, Fulya Yenilmez, Kadir Ozlem, Hakan Kestir, Eren Tasdemir, Berkant Bakisli, Gökhan Ince, Ozgur Atalay, Asli Tuncay Atalay   +8 more
wiley   +1 more source

Cognitive and emotional dynamics of artificial intelligence-assisted English learning: A mixed-methods study in a dual instructional context

Acta Psychologica
Artificial intelligence (AI) tools have become increasingly integrated into university-level English learning, yet their pedagogical role within input-based instruction and English-medium education remains insufficiently understood.
Hungpungwo Ringphaso Zimik, Somnuk Aujirapongpan, Budi Waluyo   +2 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
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

Validating the Critical Teaching Behaviors Midterm Feedback Instrument for enhanced teaching effectiveness and student engagement

To Improve the Academy
This study, conducted at a private STEM university in the Southeastern United States, presents a series of qualitative and quantitative data validating the Critical Teaching Behaviors Midterm Feedback Instrument (CTB-MFI).
Carmen Van Ommen, Chad Rohrbacher, Claudia Cornejo Happel, Jenna Korentsides, Joseph R. Keebler, Kimberly N. Williams, Lauren Barbeau, Teha Cooks   +7 more
doaj   +2 more sources

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

5: The Roles of Teaching and Learning Centers [PDF]

To Improve the Academy, 2004
Alan C. Frantz, Steven A. Beebe, Virginia S. Horvath, JoAnn Canales, David E. Swee   +4 more
openaire   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source