Results 151 to 160 of about 15,420 (294)

Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves

Advanced Intelligent Systems, EarlyView.
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu, Tuan Nghia Nguyen, Minh‐Thanh Le   +2 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

PENGARUH SMARTPHONE ADDICTION TERHADAP KECEMASAN REMAJA [PDF]

Penelitian dilakukan untuk mengetahui pengaruh smartphone addiction terhadap kecemasan remaja. Penelitian menggunakan metode kuantitatif dengan teknik pengumpulan data teknik purposive sampling.
DEVINNA ADINDA VASHTIANTI, .
core  

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan, Elizabeth Mizelle, Qiang Wu, Rui Wu, Guy Iverson, Ciprian Popoviciu, Dylan Hemedinger, Eliezer Loyola, Takari Hood, Monica Ramirez, Jo Anne Balanay   +10 more
wiley   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

Integration of an Adjunct Digital Exercise Program for Anterior Cruciate Ligament Reconstruction Rehabilitation: Patient Use and Acceptability

Arthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To evaluate patient use and acceptability of an adjunct digital exercise program for anterior cruciate ligament (ACL) reconstruction rehabilitation, as well as overall patient engagement with rehabilitation. Methods Consecutive patients who underwent primary ACL reconstruction were enrolled in a digital ACL rehabilitation exercise program ...
Julie‐Anne Fritz, Laurie A. Hiemstra, S. Mark Heard, Greg M. L. Buchko, Michaela Kopka, Sarah Kerslake   +5 more
wiley   +1 more source

Introducing virtual microscopy at the University of Ghana during the COVID‐19 pandemic—Identifying and overcoming obstacles in a low‐resource learning environment

Anatomical Sciences Education, EarlyView.
Abstract The introduction of new educational technologies into resource‐challenged learning environments is often hindered by several factors, with the lack of infrastructure and computer hardware being only one critical aspect. The COVID‐19 pandemic required a sudden switch to online learning and accelerated the implementation of e‐learning approaches
Nii Koney‐Kwaku Koney, Smart Nana Omenako, David Nana Adjei, Benjamin Arko‐Boham, Michael Hortsch   +4 more
wiley   +1 more source

Association between smartphone addiction, suicidal ideation and suicide attempt: a systematic review. [PDF]

PeerJ
Li Y, Li J, Song Y, Cui L, Zhan J, Sun X, Wang W, Pan P, Li N, Song L, Sui X, Wang F, Chen Y.   +12 more
europepmc   +1 more source

Student and staff experiences of interactive digital models when learning animal anatomy

Anatomical Sciences Education, EarlyView.
Abstract Compared to human medical sciences, digital models of animals are rare, often behind subscription services and are comparatively lacking in interactivity and accessibility features. This study explores how digital models are currently being used to teach animal anatomy, providing the data required to construct the best anatomical models ...
Alice Leavey, Sarah Channon
wiley   +1 more source