Jiang Shan

TL;DR: In this article, an exercise prescription recommendation method for the for hypertensive old people based on deep learning was proposed, which comprises the steps: collecting health data; testing the cardiac function state of the hypertensive older people in a quiet state, and evaluating the heart rate, the blood pressure and the variability of heart rate variability; identifying daily actions of the elderly people; evaluating the cardiopulmonary function of the old people; and making personalized exercise prescriptions by referring to FITT rules according to BMI, age, clinical diagnosis and exercise preference.

TL;DR: In this paper, a fall type and injury part detection method based on feature classification is presented, which includes collecting user accelerometer and gyroscope data by a wearable sensor system; performing numerical normalization processing on the acquired sensor data; acquiring time domain and frequency domain features of the preprocessed data; carrying out feature screening by adopting principal component analysis; establishing a tumble detection model based on a random forest, and performing tumble detection and tumble category judgment; and judging a matched fall injury part according to the fall type.

TL;DR: In this paper, a human body tumble detection method based on multi-source heterogeneous data fusion was proposed, which comprises the following steps: acquiring a behavior depth image and skeleton information through Kinect, and getting rid of constraints of a wearable sensor on selection of the sensor; secondly, solving theproblem that wearable sensors cannot be used in specific scenes such as bathrooms and toilets, and meanwhile, avoiding the problem that human privacy is invaded due to the fact that a common camera isused for monitoring.

TL;DR: In this article, an old people falling behavior detection method based on blind source separation was proposed, which comprises the following steps: S1, installing a kinect audio sensor at home, and collecting an audio sample data set; S2, performing action category labeling on the audio sample dataset to obtain an original audio data set, S3, performing standardization and whitening processing on the original audio dataset, and S4, establishing a blind-source separation model according to the standard audio dataset and extracting short-time energy characteristics according to independent signal source.

TL;DR: In this paper, an AIDS video propagation and education method and platform based on subject classification is proposed, which consists of a mobile terminal and a server connected through Internet communication, and the mobile terminal requests to obtain the AIDS theme classification through the Internet, and recommends the corresponding AIDS propaganda materials to the users according to the characteristics of the users.