Results 111 to 120 of about 649,883 (289)

Liquid‐Crystal‐Based Reconfigurable Intelligent Surface for 7 GHz Mobile Communication

Advanced Materials Technologies, EarlyView.
The glass‐based liquid‐crystal reconfigurable intelligent surface (LC‐RIS) integrates active‐matrix driving and blind‐greedy phase optimization within a 5G‐NR OFDM framework. This enables continuously tunable and autonomous enhancement of wireless coverage. Leveraging the transparency and manufacturability of liquid crystal panels, it is ideally suited
Tien‐Lun Ting, Yuh‐Chyi Chang, Yi‐Chan Hung, Cheng‐Yuan Hsiao, Chao‐Kai Wen, Tsung‐Hsien Lin   +5 more
wiley   +1 more source

Data Exhaust in Voice Assistants: Analysis and Mitigation Approaches

Voice assistants(VAs) such as Siri, Google Assistant, Cortana, and Alexa are increasingly integrated into smartphones, smart home devices, and Internet of Things (IoT) platforms.
Mousavi Diva, Mahsa
core  

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

Advanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco, Francesca Vittorioso, Dimitrios C. Zografopoulos, Romeo Beccherelli, Walter Fuscaldo   +4 more
wiley   +1 more source

The sound of fairness: An integrative framework for embedding fairness into voice interaction design

Computers in Human Behavior Reports
Voice assistants (VAs) substantially affect the manner in which users interact with technology by offering convenient, hands-free user interfaces. However, owing to inherent limitations in conveying and visualising information, voice interactions are ...
Seyyed Mohammad Mahdi Bahadornia, Julian Fisler, Christian Matt   +2 more
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Voice Assistants Response Strategies to Sexual Harassment

Current voice assistants are predominantly modeled as female and often respond positively to sexual harassment, which according to UNESCO has the potential to reinforce negative gender biases and stereotypes.
Luca M. Leisten
core   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
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, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Supporting older adults with mobility disabilities through voice-activated digital assistants and smart home technologies

Gerontechnology
Background: Older adults aspire to maintain their autonomy in their preferred environments and remain active in their community. However, disabilities or age-related changes can present obstacles to achieving this goal. Voice-activated digital assistants
Jaewon Kang, Emma Lachs, Kathryn Huang, Laura A. Rice, Wendy A. Rogers   +4 more
doaj   +1 more source

Jarvis Voice Assistant

International Journal of Advanced Research in Science, Communication and Technology
The "Jarvis Personal Voice Assistant" project is an example of a mix of advanced technologies including Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML), with an aim at creating an interactive voice assistant.
null Ms. Trupti D. Narwade, null Ms. Pradnya P. Kadire, null Ms. Rajnandani P. Panchal, null Ms. Riya R. Manatkar, null Prof. Dharashive A. S.   +4 more
openaire   +1 more source