33   Artículos

 
en línea
Nikolaos Zafeiropoulos, Pavlos Bitilis, George E. Tsekouras and Konstantinos Kotis    
In the realm of Parkinson?s Disease (PD) research, the integration of wearable sensor data with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and monitoring. This study delves into the complex domain of PD patient car... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yi Zhang, Jie Ma, Xiaolin Qin, Yongming Li and Zuwei Zhang    
Chronic diseases are severe and life-threatening, and their accurate early diagnosis is difficult. Machine-learning-based processes of data collected from the human body using wearable sensors are a valid method currently usable for diagnosis. However, i... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
João Monge, Gonçalo Ribeiro, António Raimundo, Octavian Postolache and Joel Santos    
Health monitoring is crucial in hospitals and rehabilitation centers. Challenges can affect the reliability and accuracy of health data. Human error, patient compliance concerns, time, money, technology, and environmental factors might cause these issues... ver más
Revista: Information    Formato: Electrónico

 
en línea
Jeban Chandir Moses, Sasan Adibi, Maia Angelova and Sheikh Mohammed Shariful Islam    
Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have poten... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Aleksandar To?ic, Niki Hrovatin and Jernej Vicic    
In the past two decades, technological advancements in smart devices, IoT, and smart sensors have paved the way towards numerous implementations of indoor location systems. Indoor location has many important applications in numerous fields, including str... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jinah Kim and Nammee Moon    
Although various studies on monitoring dog behavior have been conducted, methods that can minimize or compensate data noise are required. This paper proposes multimodal data-based dog behavior recognition that fuses video and sensor data using a camera a... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Cristian D?Ortona, Daniele Tarchi and Carla Raffaelli    
Many innovative services are emerging based on the Internet of Things (IoT) technology, aiming at fostering better sustainability of our cities. New solutions integrating Information and Communications Technologies (ICTs) with sustainable transport media... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Akash Gupta and Adnan Al-Anbuky    
Hip fracture incidence is life-threatening and has an impact on the person?s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person?s physical mobility... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Qian Huang, Chenghung Hsieh, Jiaen Hsieh and Chunchen Liu    
Artificial intelligence (AI) is fundamentally transforming smart buildings by increasing energy efficiency and operational productivity, improving life experience, and providing better healthcare services. Sudden Infant Death Syndrome (SIDS) is an unexpe... ver más
Revista: AI    Formato: Electrónico

 
en línea
Matthew T. O. Worsey, Hugo G. Espinosa, Jonathan B. Shepherd and David V. Thiel    
Machine learning is a powerful tool for data classification and has been used to classify movement data recorded by wearable inertial sensors in general living and sports. Inertial sensors can provide valuable biofeedback in combat sports such as boxing;... ver más
Revista: IoT    Formato: Electrónico

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