Health index obtaining method based on mobile terminal, system, and mobile terminal

Abstract

The invention provides a health index obtaining method based on a mobile terminal, a system, and the mobile terminal. The method specifically comprises the steps: calculating the step grade of a user at the very day through the mobile terminal according to the obtained height and actual weight of the user and the total step number of the user at the very day; calculating sitting grade of the user at the very day through the mobile terminal according to the number, recorded in real time, of sitting times of the user at the very day; calculating sleeping grade of the user at the very day through the mobile terminal according to the sleeping duration, recorded in real time, of the user at the very day; and finally calculating the health combined grade of the user at the very day according to the calculated step grade, sitting grade and the sleeping grade of the user at the very day, and outputting the health index of the user at the very day according to the health combined grade of the user at the very day. According to the invention, the excessive consumption of the electricity of a cellphone is prevented, and the invention provides a complete precise mode of acquiring the health index, thereby providing convenience to the user.

Description

technical field [0001] The present invention relates to the technical field of mobile terminals, and in particular, to a method, system and mobile terminal for obtaining a health index based on a mobile terminal. Background technique [0002] With the development of mobile communication and the continuous improvement of people's living standards, the use of various mobile terminals such as mobile phones has become more and more popular, and mobile phones have become an indispensable communication tool in people's lives. In the prior art, a three-axis acceleration sensor inherent in a mobile phone is usually used to acquire the user's motion parameters, so as to understand the user's motion and health status. However, the realization of different types of hardware and drivers of the three-axis acceleration sensor may have a great impact on the monitoring data, resulting in inaccurate results; and the calculation algorithm for health conditions in the prior art is relatively c...

AI Technical Summary

Problems solved by technology

However, the implementation of the three-axis acceleration sensor for different types of hardware and drivers may have a great impact on the monitoring data, resulting in inaccurate results; moreover, the calculation algorithm for the health status in the prior art has high complexity and a large amount of calculation , it is easy to consume more power of the mobile phone, which is not conducive to the use of users

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