Personalized exercise amount recommendation system and method
A recommendation method and exercise volume technology, applied in health index calculation, medical informatics, informatics, etc., can solve problems such as difficulty in fitness and disease prevention, failure to reflect exercise intensity and time, one-sided fitness plan, etc., to improve user enthusiasm, The effect of improving detection accuracy and improving motivation
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Embodiment 1
[0046] Such as figure 1 As shown, a personalized exercise recommendation method includes the following steps:
[0047] Obtain user information, the user information includes basic information, exercise habits and health information; basic information includes user age, gender, height, weight, waist circumference, etc., exercise habits include past exercise conditions, exercise intensity preferences, etc., health information includes whether Health information such as chronic diseases and disease history that affect exercise.
[0048] Generate exercise prescription according to user information. The generation of exercise prescription includes template matching and expert recommendation. The background system stores a prescription database corresponding to basic information, exercise habits and health information. According to the information of the user, it can be established to match the user. Health model, according to the user's health model, the corresponding exercise pre...
Embodiment 2
[0069] The difference between this embodiment and Embodiment 1 is that this embodiment also includes a team formation step, generating a sports team according to the team information set by the user. By establishing a sports team, members of the team can promote and encourage each other, thereby increasing users' enthusiasm for exercise.
[0070] It also includes a team ranking step, which calculates the sports score ranking of each player in the team in real time, calculates the total score of each team in real time and ranks each team. Stimulate and promote user movement and exercise through rankings.
[0071] It also includes a reminder step to remind users who have not completed exercise prescriptions or whose scores have not reached the preset value in the team.
[0072] A personalized exercise recommendation system in this embodiment uses the personalized exercise recommendation method in this embodiment.
Embodiment 3
[0074] The difference between this embodiment and Embodiment 1 is that in this embodiment, an appointment step is also included:
[0075] The background server obtains the appointment information sent by the user. The appointment information includes time, number of people, communication topics, and route points; The start and end points are automatically generated as waypoints.
[0076] Broadcast appointment information to users and teams near the waypoint or share it to third-party platforms, including but not limited to Qzone, WeChat Moments, WeChat friends, etc.;
[0077] After the user chooses to join the appointment, build an appointment communication platform for the users who join the appointment. Provide users with appointment-themed voice communication and chat services, and the communication theme is in line with current hot topics.
[0078] A personalized exercise recommendation system in this embodiment uses the personalized exercise recommendation method in thi...
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