Application of body posture recognition algorithm in IoT smart mattress

We live in the era of the fourth industrial revolution and the technological skills that are applied in industry are dispersed into the surrounding fields of human activity. The most accelerated area is healthcare. We call Healthcare 4.0 a new approach to technological progress in this field. As the name suggests, this trend has something to do with Industry 4.0. It is not true that healthcare takes over industrial production, but some technological processes. An example is the Internet of Things and its modification of the Medical Internet of Things (MIoT) for medical devices. As in industry, the effort is to remove as much human activity as possible from the control chain. We try to achieve the same properties in healthcare systems. With the advent of the coronavirus pandemic, the development of similar applications has accelerated significantly due to a lack of experienced manpower in the industry. In particular, the care of elderly or less mobile patients is personnel and time consuming. The trend of an aging population does not contribute to this either. To maintain the cavity of care despite the lack of manpower, it is necessary to make this work as efficient as possible. Anti-decubitus mattresses should also be used for this purpose, which monitor the position and change of position of the patient who is prone to bedsores. Our classification methods use machine learning methods to improve the accuracy of the detected position. Thanks to this, we can alert staff if necessary to prevent critical injuries and reduce treatment costs before damage occurs. Prevention is the only and best possible treatment for bedsores.