jasonudoo Goto Github PK
Name: Jason
Type: User
Name: Jason
Type: User
This is a tool created using Tensorflow and Openpose to determine whether your sitting posture is correct
Sitting posture detection is helpful for preventing musculoskeletal disorders.With the development of motion-sensing camera and relative software development kit(SDK),it is possible to implement an application using skeleton detecting technology.In this project, we excoriated Skeleton thinning algorithm and Averaging process to detect sitting posture from a lateral view without disturbing the user.The results show this method has high accuracy when detecting improper sitting postures.
Detects the sitting position of a person
Predicting sitting position using head pose estimation.
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According to a study by the Centers for Disease Control and Prevention from 2005, back pain is one of the three most commons causes of disability, affecting a total of 7.6 million of people only in the U.S. Back pain is caused by bad posture which is also known as a musculoskeletal disorder, injuries or pain in the body's joints, ligaments, muscles, nerves, tendons, and structures that support limbs, neck and back. For the average American, who remains in a sitting or standing position at an office for 8 hours, 5 days every week bad posture can become easily a routine leading to serious health problems. True Posture will prevent back pain by advising the user on how to keep a correct posture. By preventing back pain, the individual does not only prevent future health problems but it will also help the health system saving millions of dollars in treatments and medications, money that can be used for people with disorders that cannot be prevented as easily such as back pain. Overall, True Posture will help people correct their posture before it becomes a potential health problem that can lead to expensive treatments, medications, and devices. Our app is going to connect to a wearable device that takes data on your current posture. Once the user starts the applications and connects it to the device via Bluetooth, the app will collect data and save that data for the user to view later. With the saved data, the app will display a graph of the data to show how your posture looks over a set period of time. The most recent data can be compared to old data of your posture and show how much you have improved your posture since you started using the device. In addition to keeping track of your posture, the app will be able to notify the user when they are practicing bad posture. When the app is in its “alert” mode, the app will run as a background process and send the user a notification or alarm that they are practicing bad posture. Also, the user can set how long bad posture is being practiced before they get notified. For example, if the user is searching for an immediate response, the app can notify them when their posture is bad for more than five seconds. Thus, this apps main function is to monitor the daily person’s posture and improve it.
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