Results 211 to 220 of about 548,673 (345)

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

open access: yesAdvanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz   +2 more
wiley   +1 more source

Adaptive Carbon Nanotube Patches for Versatile Electronic Textiles and Wind‐Harvesting Applications

open access: yesAdvanced Materials Technologies, EarlyView.
An adhesion‐tunable electronic textile patch based on a carbon nanotube/paraffin composite is presented, enabling direct, adhesive‐free integration with fabrics. Pressure‐responsive bonding allows reversible or permanent attachment on demand.
Seokwon Joo   +4 more
wiley   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

open access: yesAdvanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee   +4 more
wiley   +1 more source

Multilevel Optical Programming of Intrinsic Vacancies in Solution‐Processed MoS2 Films for Retinomorphic Color Differentiation

open access: yesAdvanced Optical Materials, EarlyView.
Solution‐processed MoS2 films with intrinsic sulfur‐vacancy traps are used to integrate light sensing and memory in a simple two‐terminal pixel. Successive optical pulses program persistent, multilevel conductance states, while oxygen exposure enables rapid erasure.
Jihyun Kim   +8 more
wiley   +1 more source

A joint latent class model for classifying severely hemorrhaging trauma patients. [PDF]

open access: yesBMC Res Notes, 2015
Rahbar MH   +9 more
europepmc   +1 more source

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