The objective of the fifth week During this week ( the last week ) , our group has integrated the project. In the indoor positioning part, the software we use the clustering algorithm. The algorithm first randomly assigns each observation point to one of the K categories and then calculates the mean of each category. Next, the algorithm reassigns each point to the category whose mean is closest to the point data before recalculating the mean. Repeat this step until you don't need to redistribute it. There are some variations of this algorithm. There are several ways to initialize the cluster for "seeding". Here, we randomly assign each data to a group and then calculate the mean of those groups. This causes the average between the initially generated groups to be close, resulting in more repeating steps later. Since the armor was not perfect, we decided to replace the armor with the clothes and pasted the vibration module onto the clothes and put the Arduino board...
The objective of the fourth week During this week, our group mainly studied accurate positioning of signal strength through iBeacon in the range of 3.0m* 3.0m. At the same time, We have made the admission animation interface and the start interface of VR game successful. Meanwhile, our group discussed the sustainability development of our projects. The project aims to realize the Indoor Location and Somatosensory Feedback with low-cost components and does not affect the environment then achieve sustainable development. Although the VR game does not have an immediate sustainability benefit, the most of the equipment can meet the requirements of the sustainability. In the project, we use the Ibeacon technology to get the user position. This technology can be used in the hospital to solve the problem about the patient spend a lot of time to find the department or the ward. The indoor positioning technology, Ibeacon, makes the interaction between patients, medical ...