SYSTEM AND METHOD FOR PROVIDING AN INTELLIGENT GOAL RECOMMENDATION FOR ACTIVITY LEVEL USING EARPHONES WITH BIOMETRIC SENSORS
Systems and methods are disclosed for providing a user an intelligent goal recommendation for an activity level using earphones with biometric sensors. In one embodiment, the system includes earphones, including: speakers; a processor; a heartrate sensor electrically coupled to the processor; and a motion sensor electrically coupled to the processor. In this embodiment, the system also includes a memory coupled to a processor and having instructions stored that, when executed by the processor: monitor a movement of a user based on signals generated by the motion sensor; determine an activity score of the user based on the monitored movement of the user; detect a fatigue level of the user based on signals generated by the heart rate sensor; and display on a display an activity level recommendation based on the user's activity score, detected fatigue level, and a stored archive including historical information about the user's movement and fatigue level.
1 . A system for providing an intelligent goal recommendation for an activity level, comprising:
a pair of earphones comprising:
speakers;
a processor;
a heartrate sensor electrically coupled to processor; and
a motion sensor electrically coupled to the processor, wherein the processor is configured to process electronic input signals from the motion sensor and the heartrate sensor; and
a non-transitory computer-readable medium operatively coupled to at least one of one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause the system to:
monitor a movement of a user based on signals generated by the motion sensor;
determine an activity score based on the user's movement;
detect a fatigue level of the user based on signals generated by the heart rate sensor; and
display on a display an activity level recommendation based on the user's activity score, detected fatigue level, and a stored archive, wherein the stored archive comprises historical information about the user's movement and fatigue level.
2 . The system of claim 1 , further comprising: a memory storing the archive.
3 . The system of claim 2 , wherein the stored archive comprises normative data about activity scores and fatigue levels, and wherein the activity level recommendation is based on the normative data.
4 . The system of claim 1 , wherein the motion sensor is an accelerometer.
5 . The system of claim 1 , wherein the activity level recommendation is based on an anticipation of a future activity by the user; and wherein the future activity is anticipated based on the stored archive.
6 . The system of claim 1 , wherein the displayed activity level recommendation is a numerical value.
7 . The system of claim 5 , wherein the instructions, when executed by at least one of the one or more processors, further cause the system to display on the display a reminder to the user of an upcoming activity.
8 . The system of claim 7 , wherein the instructions, when executed by at least one of the one or more processors, further causes the system to adjust the displayed activity level recommendation based on the upcoming activity.
9 . The system of claim 1 , wherein the heartrate sensor is an optical heartrate sensor protruding from a side of the earphone proximal to an interior side of a user's ear when the earphone is worn, and wherein the optical heartrate sensor is configured to measure the user's blood flow and to output an electrical signal representative of this measurement to the earphones processor.
10 . The system of claim 9 , wherein the instructions, when executed by at least one of the one or more processors, further causes the system to calculate a heart rate variability based on signals received from the optical heartrate sensor, and wherein the fatigue level is detected based on the calculated heart rate variability.
11 . A method for providing an intelligent goal recommendation for an activity level using earphones with biometric sensors, comprising:
monitoring a movement of a user based on electrical signals generated by a motion sensor of the earphones;
determining an activity score of the user based on the monitored movement of the user;
detecting a fatigue level of the user based on electrical signals generated by a heart rate sensor of the earphones; and
displaying on a display an activity level recommendation based on the user's activity score, detected fatigue level, and a stored archive, wherein the stored archive comprises historical information about the user's movement and fatigue level.
12 . The method of claim 11 , further comprising: storing in a memory the archive comprising historical information about the user's movement and fatigue level.
13 . The method of claim 12 , wherein the stored archive comprises normative data about activity scores and fatigue levels, and wherein the activity level recommendation is based on the normative data.
14 . The method of claim 12 , wherein the motion sensor is an accelerometer.
15 . The method of claim 11 , wherein the activity level recommendation is based on an anticipation of a future activity by the user; and wherein the future activity is anticipated based on the stored archive.
16 . The method of claim 11 , wherein the displayed activity level recommendation is a numerical value.
17 . The method of claim 15 , further comprising: displaying on the display a reminder to the user of an upcoming activity.
18 . The method of claim 17 , further comprising: adjusting the displayed activity level recommendation based on the upcoming activity.
19 . The method of claim 11 , wherein the heartrate sensor is an optical heartrate sensor protruding from a side of the earphone proximal to an interior side of a user's ear when the earphone is worn, and wherein the optical heartrate sensor is configured to measure the user's blood flow and to output an electrical signal representative of this measurement.
20 . The method of claim 19 , further comprising: calculating a heart rate variability based on signals received from the optical heartrate sensor, and wherein the fatigue level is detected based on the calculated heart rate variability.