Results 51 to 60 of about 31,688 (263)

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Application of IoT Android voice assistant based on sensor networks in higher education network mode

Measurement: Sensors
In order to make full use of the potential of wireless sensor networks in higher education, this study aims to provide convenient intelligent learning and management functions by constructing an iot Android voice assistant based on wireless sensor ...
Wang Ye, Ma Li
doaj   +1 more source

Investigating the Accessibility of Voice Assistants With Impaired Users: Mixed Methods Study

Journal of Medical Internet Research, 2020
BackgroundVoice assistants allow users to control appliances and functions of a smart home by simply uttering a few words. Such systems hold the potential to significantly help users with motor and cognitive disabilities who currently depend on their ...
Masina, Fabio, Orso, Valeria, Pluchino, Patrik, Dainese, Giulia, Volpato, Stefania, Nelini, Cristian, Mapelli, Daniela, Spagnolli, Anna, Gamberini, Luciano   +8 more
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand, Seyed Hossein Aghamiri, Saeed Mohmammad Soleymani, Shadiyeh Bararpoor Poshkohi, Samaneh Masoudi, Hadi Esmaily   +5 more
wiley   +1 more source

Voice assistant

, 2020
Everyday devices become smarter. Thanks to software agent which is called an intelligent virtual assistant (IVA) or intelligent personal assistant we can use our appliances in full. Nowadays there are more than 30 different IVA, but all of them have differences. Popular voice assistants currently include Apple's Siri, Amazon's Alexa, Google Now, Google
Osipova, M., Mulina, Nataliia Ihorivna
openaire   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Desktop Voice Assistant

, 2023
Our desktop voice assistant project aims to develop asoftware program that uses artificial intelligence and natural language processing to understand and respond to voice commands on a desktop computer. This technology will allow users to interact with their computer using their voice, making iteasier and more convenient to access information and ...
Harshil Asodariya, Keval Vachhani, Eishan Ghori, Brijesh Babariya, Tejal Patel   +4 more
openaire   +2 more sources

Voice Assistant Notepad

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: The notepad is made on the basic concept of a real-time voice to text conversion technology that translates said words into text exactly as the user pronounces them. We developed a real-time speech recognition system and tested it in normal surroundings.
Shyam Nayan Tirupathi, Bhavani M, Samba Siva Naidu Etamsetti, Shreya Anumukonda   +3 more
openaire   +1 more source

Nationwide Survey of Association Between Fever and Epileptic Seizure in CDKL5 Deficiency Disorder Revealed Therapeutic Implications

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang, Jialin Du, Jinghui Liu, Dongmei Hu, Hongxin Wang, Xiaoxiao Man, Lehong Gao, Shimin Hu, Xianghong Meng, Hongyang Zhao, Minjing Hu, Yingxue Yang, Zhiqi Xiong, Liankun Ren   +13 more
wiley   +1 more source