Wearable sports monitoring equipment with context determination capabilities and relating method

US9616291B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9616291-B2
Application numberUS-201514940183-A
CountryUS
Kind codeB2
Filing dateNov 13, 2015
Priority dateNov 19, 2014
Publication dateApr 11, 2017
Grant dateApr 11, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The invention relates to sports monitoring equipment and methods. The invention provides a device or system comprising means for reading a heartbeat signal corresponding to heartbeat of the person during the performance, and means for reading a motion signal corresponding to motion of the person during the performance. There are also computing means for estimating energy consumption of the person during the performance using one or both of said signals. According to the invention, the device or system further comprises means for determining the type of the sports performance. The computing means for calculating the energy consumption parameter are adapted to utilize said heartbeat signal, said motion signal or both signals in combination in a manner depending on the type of the sports performance determined. The invention allows for accurate estimation of energy consumption in versatile sports.

First claim

Opening claim text (preview).

The invention claimed is: 1. Wearable electronic equipment for monitoring a sports performance of a person, comprising: means for reading a heartbeat signal corresponding to heartbeat of the person during the performance, means for reading a motion signal corresponding to motion of the person during the performance, means for calculating an energy consumption parameter using one or more of said signals, and means for determining a type of the sports performance wherein: the means for determining the type of the sports performance are adapted to calculate a parameter depicting the rhythmicity of the performance based on said motion signal, and the means for calculating the energy consumption parameter are adapted to utilize the heartbeat signal if the rhythmicity of the performance is below a predefined level and to utilize the motion signal if the rhythmicity of the performance is above a predefined level. 2. The wearable electronic equipment according to claim 1 , further comprising means for receiving and storing a user-specified sports performance type parameter in a memory of the equipment which can be read by the means for determining the type of the sports performance in order to determine the type of the sports performance. 3. The wearable electronic equipment according to claim 1 , wherein the means for determining the type of the sports performance are adapted to determine the type of the sports performance automatically based on characteristics of the motion signal. 4. The wearable electronics equipment according to claim 1 , wherein the means for determining the type of the sports performance are adapted to determine rhythmicity of the motion signal by: detecting repeating features in the motion signal, associating time stamps to the repeating features, and determining any correlation between intervals between successive time stamps. 5. The wearable electronics equipment according to claim 1 , wherein the means for determining the type of the sports performance are adapted to apply Fourier analysis to the motion signal in order to determine the rhythmicity of said motion signal. 6. The wearable electronic equipment according to claim 1 , further comprising an electronic module having an acceleration sensor for providing said motion signal, and a heart rate belt or smart garment with ECG measurement electrodes for providing said heartbeat signal, and wherein said heart rate belt or smart garment is integral or connectable with said electronic module. 7. The wearable electronic equipment according to claim 6 , further comprising in said electronics module: means for calculating the energy consumption parameter based on at least one of: the heartbeat signal and motion signal, depending on the type of sports performance determined, and means for wirelessly communicating the energy consumption parameters to another electronic device. 8. The wearable electronic equipment according to claim 1 , wherein said means for calculating the energy consumption parameter are adapted to estimate at least on of a cadence and speed of the person on the basis of a motion signal and to derive the energy consumption parameter using at least one of an estimated cadence and speed. 9. The wearable electronic equipment according to claim 1 , further comprising a displayless device comprising at least said means for reading the heartbeat signal. 10. The wearable electronic equipment according to claim 1 , futher comprising a wristop computer or mobile phone, whereby said means for reading the heartbeat signal are adapted to receive the signal(s) wirelessly from a separate measurement device. 11. The wearable electronic equipment according to claim 1 , wherein the energy consumption parameter is provided in the units of energy consumption per mass unit of a person or total energy consumption of said person. 12. The wearable electronic equipment according to claim 1 , wherein said means for reading a heartbeat signal comprise one or more electrical ECG sensors, optical sensors, pressure sensors or acceleration sensors. 13. The wearable electronic equipment according to claim 12 , wherein the one or more sensors is/are adapted to be positioned against the chest, neck, wrist or auricle of the person during the performance. 14. A method for monitoring a sports performance of a person, comprising: providing a heartbeat signal corresponding to heartbeat of the person during a performance, providing a motion signal corresponding to motion of the person during said performance, calculating an energy consumption parameter using one or more of said signals, and determining the type of sports of said performance, wherein determining the type of the sports performance is carried out by calculating a rhythmicity parameter based on said motion signal, calculating the energy consumption parameter by using the motion signal for calculating the energy consumption parameter if the rhythmicity parameter is above a predefined level and using the heartbeat signal for calculating the energy consumption parameter if the rhythmicity parameter is below the predefined level, and said heartbeat signal and said motion signal are measured, and the type of the sports performance is determined, in an electronic module located in or mountable to a wearable device. 15. The method according to claim 14 , wherein said determining of the type of the sports performance is carried out by reading a user-specified sports type parameter entered via a user interface. 16. The method according to claim 14 , wherein said determining of the type of the sports performance is carried out automatically based on characteristics of the motion signal.

Assignees

Inventors

Classifications

  • Distinction between different activities, movements, or kind of sports performed · CPC title

  • Human Necessities · mapped topic

  • Determining activity level · CPC title

  • with portable devices, e.g. worn by the patient · CPC title

  • combined with detection or measurement of physiological parameters, e.g. heart rate · CPC title

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Frequently asked questions

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What does patent US9616291B2 cover?
The invention relates to sports monitoring equipment and methods. The invention provides a device or system comprising means for reading a heartbeat signal corresponding to heartbeat of the person during the performance, and means for reading a motion signal corresponding to motion of the person during the performance. There are also computing means for estimating energy consumption of the pers…
Who is the assignee on this patent?
Suunto Oy
What technology area does this patent fall under?
Primary CPC classification A61B5/02438. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 11 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).