Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring

Author(s):  
Hao Zhen ◽  
Priyan Malarvizhi Kumar ◽  
R. Dinesh Jackson Samuel

The modern Internet of Things (IoT) paradigm enables creating small devices that can provide sensor, process, and connect, facilitating sensors, embedded devices, and other “things” ready for understanding the environment. Physical education and physical activity can improve both the physical and mental health of practitioners. However, there are many issues or accidents occurred to the athletes during training and tournament. In addition, lack of awareness during a match or game could lead to injuries and dropping the competition or match. This study proposes an IoT-based Wearable Intelligent Health Monitoring system (IoTW-IHMS) for the physical teaching system and athletes’ health monitoring. This study intends to collect and track data on player rates, body temperature, and response time to stimulation while using compact wearable devices and microprocessors as the main device to relay them wirelessly. Multiple sensors tracked the heart rate, current body temperature, and response time of the athlete. The simulation analysis shows that the proposed IoTW-IHMS method enhances the accuracy (93.6%), response time ratio (95.4%), sensitivity ratio (97.5%), performance ratio (91.3%), and prediction ratio (96.8%) compared to other popular methods.

Author(s):  
Rajkumar Rajasekaran ◽  
Govinda K. ◽  
Jolly Masih ◽  
Sruthi M.

Most of the elderly citizens are either living by themselves or locked up at home when the rest of the family members go to work. Health of the elderly deteriorates gradually with age, but people fail to notice these changes in everyday life. The elderly are at risk of not receiving attention immediately in the case of emergencies. Internet of things can be used to alert family members and health personnel immediately when an abnormality in the elderly person's health is sensed to prevent discovery of illness at an irrecoverable stage. Internet of things can monitor parameters like heart pulse rate, body temperature, body movement, position, and location, and raise an alert to take immediate preventive actions. Making this system portable is one of the most necessary requirements because it will be worn by the user. That introduces various conditions in itself. For instance, the system should not disturb the patient or be heavy.


Author(s):  
Neetu Marwah

In this world with exponentially increasing fitness risks, the authors are proposing an Internet of Things (IoT) based device named Wireless Health Monitoring System (WHMS), to put patients' thinking at ease. We are dwelling in a world which is no longer viable for a doctor to keep a watch over a patient's indispensable parameters all the time. This device is helpful for aged people staying alone at home, people dwelling on hills, pregnant females anywhere, and for busy people who cannot often contact a doctor. A health practitioner, some distance away from the patient, needs to understand his heart rate and body temperature of the physique to begin preliminary treatment. Keeping this as a preluding landmark, the authors are proposing an embedded gadget which can measure the rate of heart beat and body temperature, and keep the statistics on the cloud server for the doctor to determine the next course of action.


Author(s):  
A. Ramya Visalatchi ◽  
R. Yogamathi

One among the various applications enabled with the aid of the Internet of Things (IoT) is wearable technology, where smart and pervasive health care is an important one. Network sensors, either worn on the frame or embedded in our environments; make possible the collection of rich information of our physical and mental health. Captured on a continuous basis, aggregated, and efficiently supervised, such statistics can bring about a positive transformation in health care system


2021 ◽  
Vol 39 (2) ◽  
pp. 295-299
Author(s):  
Joel J. P. C. Rodrigues ◽  
Honggang Wang ◽  
Simon James Fong ◽  
Nada Y. Philip ◽  
Jia Chen

2021 ◽  
pp. 1-15
Author(s):  
Mengyao Cui ◽  
Seung-Soo Baek ◽  
Rubén González Crespo ◽  
R. Premalatha

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.


2012 ◽  
Vol 271-272 ◽  
pp. 1742-1749
Author(s):  
Peng Cheng Huang ◽  
Qing Hua Yang ◽  
Guan Jun Bao ◽  
Li Bin Zhang

Aimed at existing problems on the bending performance of pneumatic bending joint, a new type of pneumatic bending joint is proposed in this paper. Double flexible pneumatic actuators are used as actuating drivers. Based on the first law of thermodynamics and the joint dynamic equation, the angle dynamic model is established and analyzed. Moreover simplified model is proposed. Meanwhile, its dynamic characteristic is analyzed through simulation analysis. The simulation suggests the following results: in the gas-filled phase, the joint’s pressure response time is about 10ms; while it is about 60ms in the gas-escape phase; and the angle response time of joint is 10 to 20ms. When the joint damping coefficient is increasing, this value will also increase.


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