Electronic aerosol provision system

1. An electronic vapor provision system comprising:

a vaporizer for vaporizing a payload for inhalation by a user of the electronic vapor provision system, the vaporizer taking a finite period of time from having power supplied to the vaporizer to vaporize the payload;

a power supply for supplying power to the vaporizer to vaporize the payload in response to a user activation;

one or more sensors operable to output respective signals in response to interaction of the user with the electronic vapor provision system;

an estimation processor configured to estimate an expected moment of activation by the user, based upon analysis of one or more of the respective signals; and

a control processor configured to cause power to be supplied to the vaporizer at a time that precedes the estimated expected moment of activation by the user.

2. The electronic vapor provision system of claim 1 , wherein the estimation processor calculates a correlation between the respective signals from the one or more sensors, and discounts the respective signals from the one or more sensors that do not meet a respective correlation threshold.

3. The electronic vapor provision system of claim 1 , wherein the estimation processor calculates a timing variability of the respective signals from the one or more sensors with respect to a subsequent user activation to generate a respective predicted timing for user activation relative to the detection of one or more respective signals.

4. The electronic vapor provision system of claim 3 , wherein the estimation processor selects a signal with a smallest variability as a preferred signal from which to select the predicted timing, for a case where two or more signals including the preferred signal are detected.

5. The electronic vapor provision system of claim 3 , wherein the estimation processor selects successive signals as a signal from which to select the predicted timing, in a case where two or more signals are detected in succession, thereby updating the predicted timing.

6. The electronic vapor provision system of claim 5 , wherein the estimation processor selects successive signals with smaller variabilities as the signal from which to select the predicted timing, in the case where two or more signals are detected in succession, thereby updating the predicted timing.

7. The electronic vapor provision system of claim 3 , wherein the vaporizer is a heater and the estimation processor calculates a pre-heating initiation time responsive to the or each predicted timing.

8. The electronic vapor provision system of claim 3 , wherein the vaporizer is a heater and the estimation processor calculates a heating gradient responsive to the predicted timing and a current temperature of the vaporizer.

9. The electronic vapor provision system of claim 1 , further comprising:

an e-cigarette comprising the control processor, and

a mobile phone comprising the estimation processor.

10. A method of vapor provision, comprising:

providing a vaporizer for vaporizing a payload for inhalation by a user, the vaporizer taking a finite period of time from having power supplied to the vaporizer to vaporize the payload;

providing a power supply for supplying power to the vaporizer to vaporize the payload in response to a user activation;

providing one or more sensors operable to output respective signals in response to interaction of the user with the electronic vapor provision system;

estimating an expected moment of activation by the user, based upon analysis of one or more of the respective signals; and

causing power to be supplied to the vaporizer at a time that precedes the estimated expected moment of activation by the user.

11. The method of claim 10 , wherein the estimating comprises:

calculating a correlation between the respective signals from the one or more sensors, and

discounting the respective signals from the one or more sensors that do not meet a respective correlation threshold.

12. The method of claim 10 , wherein the estimating further comprises calculating a timing variability of the respective signals from the one or more sensors with respect to a subsequent user activation, to generate a respective predicted timing for user activation relative to detection of one or more respective signals.

13. The method of claim 12 , wherein the estimating further comprises selecting a signal with a smallest variability as a preferred signal from which to select the predicted timing, for a case where two or more signals including the preferred signal are detected.

14. The method of claim 12 , wherein the estimating further comprises selecting successive signals as a signal from which to select the predicted timing, in a case where two or more signals are detected in succession, thereby updating the predicted timing.

15. The method of claim 14 , wherein the estimating further comprises selecting successive signals with smaller variabilities as the signal from which to select the predicted timing, in the case where two or more signals are detected in succession, thereby updating the predicted timing.

16. The method of claim 10 , wherein the estimating further comprises:

receiving feedback data relating to a property of an aerosol provided to the user at the subsequent user activation, and

adjusting future estimation of the expected moment of activation by the user, based upon analysis of the feedback data.

17. The method of claim 12 , wherein the vaporizer is a heater and the estimating further comprises calculating a pre-heating initiation time responsive to the predicted timing.

18. The method of claim 12 , wherein the vaporizer is a heater and the estimating further comprises calculating a heating gradient responsive to the predicted timing and a current temperature of the vaporizer.

19. A non-transitory computer readable storage medium storing computer executable instructions adapted to, when loaded onto and executed by a computer system, cause the computer system to perform the method of claim 10 .