https://www.selleckchem.com/products/d-ap5.html Digital therapy as acurrent treatment option for insomnia can be offered to patients regardless of physical distance. Accordingly, not only early approval of therapy apps, but also person-led, digital therapy options for insomnia would be recommended. The inclusion of personalised and sleep-coaching measures in the area of occupational health management is encouraged. Digital therapy as a current treatment option for insomnia can be offered to patients regardless of physical distance. Accordingly, not only early approval of therapy apps, but also person-led, digital therapy options for insomnia would be recommended. The inclusion of personalised and sleep-coaching measures in the area of occupational health management is encouraged.Public health experts and healthcare professionals are gradually identifying sedentary activity as a population-wide, pervasive health risk. The purpose of this paper is to propose a method to identify the changes in posture during sedentary work and to give feedback by analysing the identified posture of the upper body, i.e. hands, shoulder, and head positioning. After capturing the image of the human pose, pre-processing of the image takes place with a bandpass filter, which helps to reduce the noise and morphological operation, which is used to carry out the process of dilation, erosion and opening of an image. To predict the results easily with the use of texture feature extraction, it helps to extract the image's feature. Then, accuracy is predicted by using the deep neural network techniques, to predict the result accurately. After prediction and analysis, the feedback system is developed to alert individuals through the alarm system. The proposed method is formulated by using DNN for prediction in the MATLAB software tool. The results show accuracy, sensitivity and specificity of the prediction using a deep neural network are 97.2%, 88.7% and 99.1%. The proposed method is compared wit