Wearable Device used in Various Exercise Devices

• US 20160271451A1
• Filed: 03/20/2015
• Published: 09/22/2016
• Est. Priority Date: 03/20/2015
• Status: Abandoned Application

• Current Assignee: Strength Master Fitness Tech. Co., Ltd.
• Original Assignee: Strength Master Fitness Tech. Co., Ltd.
• Inventors: Su, Ming-Chu, Wu, Shu-Yao
• Application Number:
  US14/663,815
• Publication Number:
  US 20160271451A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: G06F 2218/00 Aspects of pattern recognition specially adapted for signal processing
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training

Abstract

A wearable device used in various exercise types. The wearable device includes a storage unit, at least one physiological data sensing unit, at least one movement sensing unit, an input display unit and a processing unit. The storage unit stores a plurality of default exercise types and their corresponding exercise evaluating algorithms. The at least one physiological data sensing unit measures a physiological data from a user. The at least one movement sensing unit measures a movement data from the user. The input display unit is used to select at least one exercise types from the plurality of default exercise types by the user. By setting the physiological data, the movement data or the combination thereof as input parameters of the exercise evaluating algorithm, the processing unit can real-time compute an exercise performance when the user carries out the at least one selected exercise type.

Claims

1. A wearable device used in various exercise types, comprising:

a storage unit, configured to store a plurality of default exercise types and corresponding exercise evaluating algorithms;

at least one physiological data sensing unit, configured to measure a physiological data from a user;

at least one movement sensing unit, configured to measure a movement data from the user;

an input display unit, configured to select at least one exercise types from the plurality of default exercise types by the user; and

a processing unit, configured to set the physiological data, the movement data or a combination thereof as input parameters for the exercise evaluating algorithms to real-time compute an exercise performance when the user performs the at least one selected exercise type;

wherein, in response to the selection of the at least one selected exercise type by the user, the processing unit stores each the at least one selected exercise type or a relative indicator corresponding to each the at least one selected exercise type, and the physiological data, the movement data or the exercise performance in the storage unit according to a predetermined format.

2. The wearable device of claim 1, wherein an expected exercise performance corresponding to the at least one selected exercise type is input via the input display unit, and the processing unit computes the exercise performance of the user according to an exercise record and determines if the exercise performance meet the expected exercise performance.

3. The wearable device of claim 2, wherein the exercise record comprise a history of exercising intensities and a time interval from previous exercise of the user, and the processing unit adjusts an exercising intensity and an exercising period for achieving the expected exercise performance according to the history of exercising intensities and the time interval.

4. The wearable device of claim 1, wherein in response to the user performs an exercise corresponding to a first selected exercise type and a second selected exercise type, sequentially, the first selected exercise type and the second selected exercise type are switched via the input display unit by the user to compute the exercise performance of the user performing the first selected exercise type and the second selected exercise type.

5. The wearable device of claim 1, wherein the plurality of default exercise types comprise a treadmill, an elliptical machine, an exercise bike or a stepper.

6. A wearable device used in various exercise types, comprising:

a storage unit, configured to store a plurality of default exercise types and corresponding exercise evaluating algorithms;

at least one physiological data sensing unit, configured to measure a physiological data from a user;

at least one movement sensing unit, configured to measure a movement data from the user;

a processing unit, configured to determine the corresponding exercise evaluating algorithm according to the physiological data, the movement data or a combination thereof, and to execute the exercise evaluating algorithms to real-time compute an exercise performance when the user performs the at least one selected exercise type; and

an input display unit, configured to display the exercise performance of the user; and

wherein, in response to the selection of the at least one selected exercise type by the user, the processing unit stores each the at least one selected exercise type or a relative indicator corresponding to each the at least one selected exercise type, and the physiological data, the movement data or the exercise performance in the storage unit according to a predetermined format.

7. The wearable device of claim 6, wherein an expected exercise performance corresponding to the at least one selected exercise type is input via the input display unit, and the processing unit computes the exercise performance of the user according to an exercise record and determines if the exercise performance meet the expected exercise performance.

8. The wearable device of claim 7, wherein the exercise record comprises a history of exercising intensities and a time interval from previous exercise of the user, and the processing unit adjusts an exercising intensity and an exercising period for achieving the expected exercise performance according to the history of exercising intensities and the time interval.

9. The wearable device of claim 6, wherein in response to the user performs an exercise corresponding to a first selected exercise type and a second selected exercise type, sequentially, while entering the exercise corresponding to the second selected exercise type from the first selected exercise type, the first selected exercise type and the second selected exercise type are switched automatically by the processing unit according to the movement data and a training data.

10. The wearable device of claim 9, wherein the training data comprises an exercise pattern measured by the at least one movement sensing unit when the user performs each the plurality of default exercise types.