Multi-User Home-Training Healthcare System Using Kinect Sensor and Wearable Devices

Author(s):  
Da-won Kim ◽  
Hee-jo Nam ◽  
Seung-yeon Lee ◽  
You-kyung Haam ◽  
O-k Seo ◽  
...  
2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Sheikh M. A. Iqbal ◽  
Imadeldin Mahgoub ◽  
E Du ◽  
Mary Ann Leavitt ◽  
Waseem Asghar

AbstractWearable devices have found numerous applications in healthcare ranging from physiological diseases, such as cardiovascular diseases, hypertension and muscle disorders to neurocognitive disorders, such as Parkinson’s disease, Alzheimer’s disease and other psychological diseases. Different types of wearables are used for this purpose, for example, skin-based wearables including tattoo-based wearables, textile-based wearables, and biofluidic-based wearables. Recently, wearables have also shown encouraging improvements as a drug delivery system; therefore, enhancing its utility towards personalized healthcare. These wearables contain inherent challenges, which need to be addressed before their commercialization as a fully personalized healthcare system. This paper reviews different types of wearable devices currently being used in the healthcare field. It also highlights their efficacy in monitoring different diseases and applications of healthcare wearable devices (HWDs) for diagnostic and treatment purposes. Additionally, current challenges and limitations of these wearables in the field of healthcare along with their future perspectives are also reviewed.


2017 ◽  
Vol 63 ◽  
pp. 232-245 ◽  
Author(s):  
P. Vijayakumar ◽  
P. Pandiaraja ◽  
Marimuthu Karuppiah ◽  
L. Jegatha Deborah

2018 ◽  
Vol 7 (2.32) ◽  
pp. 164
Author(s):  
Syed. Karimunnisa ◽  
K Suma Anusha

With the development of clouds and cloudlet technology along with wearable devices, the need for providing security to medical data can be increased. Medical data includes data collection, data storage and data sharing, etc. Traditional healthcare system transmits the medical data to the cloud using sensitive information which causes communication energy consumption. Practically, sharing medical data is a challenging task. Thus in this paper, we propose a novel healthcare system by using the flexibility of cloudlet. The operations of cloudlet include privacy protection, data sharing and intrusion detection. In data collection stage, First, the data collected by wearable devices is encrypted using Number Theory Research Unit (NTRU) method and that encrypted data can be transfered to nearby cloudlet. Secondly, we develop a new trust model to help users to select trustable similar patients who want to share stored data in the cloudlet and to communicate with each other about their diseases. Thirdly, we divide users’ medical data into three parts and give them security which is stored in remote cloud of hospital. Finally, to protect the healthcare system from malicious attacks, we implement a novel collaborative intrusion detection system (IDS) method based on cloudlet mesh, Our experiments proves the effectiveness of the proposed scheme.  


2016 ◽  
Vol 67 (2) ◽  
pp. 102-109 ◽  
Author(s):  
Tanja Dackermann ◽  
Ursula Fischer ◽  
Ulrike Cress ◽  
Hans-Christoph Nuerk ◽  
Korbinian Moeller

Zusammenfassung. Nicht nur in Konzepten wie der Bewegten Schule ist körperliche Bewegung zur Unterstützung des Lernens von großer Bedeutung. Inzwischen liegen erste empirische Befunde zum positiven Einfluss spezifischer körperlicher Bewegungen vor, wie zum Beispiel dem Einsatz der Finger beim Erstrechnen oder dem Laufen entlang eines Zahlenstrahls. Diese aktuellen Studien deuten darauf hin, dass Bewegung den Erwerb numerischer Konzepte unterstützen kann. Neue bewegungssensitive Eingabemedien (z. B. Tanzmatte, Kinect Sensor) ermöglichen nicht nur solche Bewegungen in der Interaktion mit einer Lernumgebung, sondern machen diese mess- und damit spezifisch nutzbar. Dadurch können Trainings realisiert werden, die gezielt den Zusammenhang von Zahlen und Raum und damit für die Ausprägung des mentalen Zahlenstrahls relevante Prozesse trainieren. Die Entwicklung solcher Trainings ist von besonderer Bedeutung, weil der mentale Zahlenstrahl wichtig für eine erfolgreiche numerisch-mathematische Entwicklung zu sein scheint. In diesem Artikel stellen wir neben den theoretischen Grundlagen eine Zusammenfassung der Ergebnisse verschiedener eigener Arbeiten zu verkörperlichten numerischen Trainings vor.


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