Estimation of sleep status based on wearable free device for elderly care

Sleep deprivation distracted most people. The common ways to monitor people sleeping are electroencephalogram and polysomnography. Recently, wearable devices provide function to estimate sleep status. However, in some situations people feel uncomfortable to wear devices, such as elder with dementia. This paper presents a scheme to estimate sleep status based on wearable free device. We utilized SVM to train sensing data of motion sensor by referring to sleep status of intelligent band. Then, the trained parameters were exploited to classify sensing data as well as estimate sleep status. The experiment results will demonstrate that our scheme achieves accuracy of 75%.