Tag image processing

Therapinno lets you do physical therapy moves by playing games. Thus, you can complete your therapy without getting bored. Aim is to turn physical therapy into entertainment. Therapy movements can be performed while playing games. No additional hardware is required. A built-in camera or an external webcam is sufficient. It does not need special scenes such as green/blue box. It can work in any condition where there is enough light. It analyzes the body and identifies limbs. It does not require calibration and automatically calibrates based on body measurements. It is modular, different games and movements can be added. It supports many physical therapy movements. Not only those who need therapy, but also those who work at a desk for long periods of time can exercise while having fun.

Hemoglobin is an essential protein found in blood and should not fall below a certain level in humans. Today’s methods of hemoglobin measurement are mostly invasive. This study aims to perform a non-invasive estimation of hemoglobin levels using age, height, weight, body mass index, gender, and nail images of individuals. Data was collected from 353 volunteers aged 1 to 92 years. Two different data sets were created using these data: a numerical dataset and a nail image set. A combined deep learning model was put forward using both the model created for numerical data and the model created for nail images. In this study, bias was calculated as 0.03 g/dL, and the limits of agreement value in the 95% confidence interval was calculated as 1.09 g/dL. The calculated mean absolute percentage error values were 2.09%, and the root mean squared error was 0.56 g/dL. After entering the necessary data into the system, the estimated average resulting time was 0.09 s. The results of this study have shown success compared to the results of similar studies, and this method can be used for non-invasive hemoglobin level estimation. The recommended approach is more comfortable than invasive methods and gives much faster results.