Health monitoring mobile phone based on human face
A health monitoring and mobile phone technology, applied in computer parts, special data processing applications, telephone communications, etc., to achieve the effects of easy portability, convenient and timely health monitoring, and low cost
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Embodiment example 1
[0042] figure 1 The modules are all implemented on Android smartphones. The Android platform provides an application program framework, various development tools such as sensors, speech recognition, desktop component development, Android game engine design, and Android application optimization, and supports multimedia such as audio, video, and pictures. SQLite3, a relational database for structured data storage.
[0043] In this implementation case, face image processing is implemented using the API functions provided by Android OpenCV, including face detection and the construction of face feature vectors. Android OpenCV is a ported version of OpenCV on Android phones. Use SQLite3 to manage the database.
[0044] Android OpenCV provides access to hardware, can directly access the camera, can realize face image acquisition, image preprocessing, including normalization of image size and grayscale, correction of head posture, face image detection, etc. The face detection alg...
Embodiment example 2
[0067] figure 1 The module is implemented in a client / server manner. Modules implemented on the Android smart phone: user in-use detection module 200, mobile phone camera control module 201, face image acquisition module 202, face recognition module 203, face disease classification module 205, health warning module 207. Implementation modules on the server: face recognition model learning module 204, face disease classification model learning module 206, health warning file management module 208, and face recognition training sample database 210, store face disease training sample database 211, health warning files database 212.
[0068] The server adopts the J2EE platform, the WEB server adopts Tomcat, etc., and the MYSQL database is used to realize the database management. Face image processing is implemented using API functions provided by Android OpenCV, including face detection and construction of face feature vectors.
[0069] In the implementation case, the face rec...
Embodiment example 3
[0086] figure 1 The module is implemented in a client / server manner. Modules implemented on the Android smart phone: user in-use detection module 200, mobile phone camera control module 201, face image acquisition module 202, face recognition module 203, face disease classification module 205, health warning module 207. Implementation modules on the server: face recognition model learning module 204, face disease classification model learning module 206, health warning file management module 208, and face recognition training sample database 210, store face disease training sample database 211, health warning files database 212.
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