24   Artículos

 
en línea
Xingyuan Yang, Jie Yuan, Hao Yang, Ya Kong, Hao Zhang and Jinyu Zhao    
In this paper, considering the problem that the common defensive means in the current cyber confrontation often fall into disadvantage, honeypot technology is adopted to turn reactive into proactive to deal with the increasingly serious cyberspace securi... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Herti Miawarni, Eko Setijadi, Tri Arief Sardjono, Wijayanti, Mauridhi Hery Purnomo     Pág. 31 - 46
Telemonitoring of human physiological data helps detect emergency occurrences for subsequent medical diagnosis in daily living environments. One of the fatal emergencies in falling incidents. The goal of this paper is to detect significant incidents such... ver más
Revista: Emitter: International Journal of Engineering Technology    Formato: Electrónico

 
en línea
Nirmalya Thakur and Chia Y. Han    
Falls, highly common in the constantly increasing global aging population, can have a variety of negative effects on their health, well-being, and quality of life, including restricting their capabilities to conduct activities of daily living (ADLs), whi... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hsien-Ming Chou, Shih-Ming Pi and Tsai-Lun Cho    
There are many healthcare possibilities for the elderly, such as hospitals, nursing homes, and home-based care. However, in times of COVID-19, most home-based elderly people did not have sufficient supplies or healthcare as usual. Fulfilling their desire... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Roseline Oluwaseun Ogundokun, Rytis Maskeliunas, Sanjay Misra and Robertas Damasevicius    
Posture detection targets toward providing assessments for the monitoring of the health and welfare of humans have been of great interest to researchers from different disciplines. The use of computer vision systems for posture recognition might result i... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Dohun Kim, Heegwang Kim, Yeongheon Mok and Joonki Paik    
In spite of excellent performance of deep learning-based computer vision algorithms, they are not suitable for real-time surveillance to detect abnormal behavior because of very high computational complexity. In this paper, we propose a real-time surveil... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiang Wu, Jiale Wang, Ao Zhan and Chengyu Wu    
Falls are one of the main causes of elderly injuries. If the faller can be found in time, further injury can be effectively avoided. In order to protect personal privacy and improve the accuracy of fall detection, this paper proposes a fall detection alg... ver más
Revista: Information    Formato: Electrónico

 
en línea
Mohammed Hossny and Julie Iskander    
Learning to maintain postural balance while standing requires a significant, fine coordination effort between the neuromuscular system and the sensory system. It is one of the key contributing factors towards fall prevention, especially in the older popu... ver más
Revista: AI    Formato: Electrónico

 
en línea
Mounir Hafsa and Farah Jemili    
Cybersecurity ventures expect that cyber-attack damage costs will rise to $11.5 billion in 2019 and that a business will fall victim to a cyber-attack every 14 seconds. Notice here that the time frame for such an event is seconds. With petabytes of data ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Myeongseob Ko, Suneung Kim, Mingi Kim and Kwangtaek Kim    
In the past few years, it has become increasingly important to automatically detect falls and provide feedback in emergency situations. To meet these demands, fall detection studies have been undertaken using various methods ranging from wearable devices... ver más
Revista: Applied Sciences    Formato: Electrónico

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