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Method for Automatically Adjusting the belt tightness Disclosure Number: IPCOM000240836D
Publication Date: 2015-Mar-05
Document File: 3 page(s) / 72K

Publishing Venue

The Prior Art Database


Methods are proposed to adjust the tightness of the waist belt, cognitively,  by voice, or by touch. A smart belt is connected with smart devices such as smart phones, or computers to make it smarter. Several methods are proposed to use smart devices to detect users'  activities and locations, and then cognitively determine the tightness of the belt according to the user settings.  Using the computing power of smart device also allows users to use voice command or touch screen to adjust belt tightness level easily.

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Method for Automatically Adjusting the belt tightness

Nowadays, wearable equipment becomes popular. Smart waist belts also appear, and here are some examples:

A belt detecting the posture [1]

A belt that can measure the waist circumference [2] A belt that can adjust the tightness [3]

However, there are still some space for further improvement. This article tries to propose methods to improve the functionality of the smart belts and make them smarter. Specifically, a proposed method to automatically adjust the tightness of the belts.

The belt proposed in [3] allow people to adjust its tightness, but the problem is that: it is still not smart enough. It assumes that the tightness level of belt, denoted as T , is a constant T0 (a predefined comfort level of tightness), and then the belt will adjust the tightness to keep T0 . However, this assumption is not true. In practice, people want different levels of tightness. For example:

When doing exercises, people may want T > T0 (tighter)

   When relaxing after dinner, people may want T < T0
When dancing, T > T0
When sitting, T slightly smaller than T0
When a person wants to get thinner and in diet, they may want T > T0
In summary, the tightness of the belt, T , is determined by many factors, and may vary with activities people are doing. Even with existing patents, manually adjusting tightness level is still needed.

This article proposes methods to solve the problems previously discussed. To make the belt able to adjust the tightness smartly, connect the smart belt with smart devices such as smart phones, and then use smart phones' sensors and data to determine users' activities, location, and schedule and then set tightness level accordingly based on users' preferences and predefined rules. Below lists three categories.

1. Based on activities:

a. Sports: T = 1.2 T0;

b. Dancing: T = 1.1 T0.


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2. Based on locations:

a. Office: T = 1.0 T0;

b. Home: T = 0.95...