Wearable equipment and mode switching method using the same
A mode switching method of wearable equipment and the wearable equipment are disclosed. The method comprising: confirming a current mode being a sleep mode, detecting an accumulated time of a motion state, judging whether the accumulated time is greater than a first predetermined time period and switching to a fake sleep mode if it is; and detecting an accumulated footsteps and a sleep state, which by judging whether the accumulated footsteps in a second predetermined time period is greater than a threshold footsteps and switching to the motion state if it is; and judging whether the second predetermined time period is experienced in the sleep state and switching to the sleep mode if it is. The present invention can improve the accuracy, while reducing power consumption.
1. A mode switching method of wearable equipment, comprising the steps of:
confirming, by a sleep mode capturing unit, a current mode being a sleep mode;
detecting an accumulated time of a motion state and a sleep state by a first switching unit; judging, by the first switching unit, whether the accumulated time is greater than a first predetermined time period and switching to a fake sleep mode if it is; and
detecting an accumulated footsteps and the sleep state by a second switching unit; judging, by the second switching unit, whether the accumulated footsteps in a second predetermined time period is greater than a footsteps threshold and switching to a motion mode if it is; and judging, by the second switching unit, whether the second predetermined time period is experienced in the sleep state and switching to the sleep mode if it is.
2. The mode switching method according to claim 1 , wherein the step of detecting the accumulated footsteps and the sleep state comprises:
executing a high sampling frequency for detecting the accumulated footsteps and the sleep state, wherein the high sampling frequency is greater than a low sampling frequency; and
wherein the step of judging whether the second predetermined period is experienced in the sleep state comprises judging whether the second predetermined period is experienced in a deep sleep state or a shallow sleep state.
3. The mode switching method according to claim 1 , further comprising the following steps after the step of switching to the motion mode:
executing the high sampling frequency for detecting the motion state to capture the accumulated footsteps; and
judging whether an initial time of the sleep mode is reached and switching to the sleep mode if it is; or receiving a manual switching instruction to switch to the sleep mode.
4. The mode switching method according to claim 1 , wherein the step of confirming the current mode being the sleep mode comprises:
confirming the current mode being the sleep mode by knowing that the predetermined initial time of the sleep mode is reached to switch to the sleep mode, or confirming the current mode being the sleep mode by knowing that the manual switching instruction is received to switch to the sleep mode.
5. A mode switching method of wearable equipment, comprising the steps of:
confirming, by a sleep mode capturing unit, a current mode being a sleep mode;
detecting a motion amplitude of a motion state and a sleep state by a first switching sub-unit; judging whether the motion amplitude is greater than a first predetermined threshold and switching to a fake sleep mode if it is; and
detecting an accumulated footsteps and the sleep state by a second switching unit; judging, by the second switching unit, whether the accumulated footsteps in a second predetermined time period is greater than a footsteps threshold and switching to a motion mode if it is; and judging, by the second switching unit, whether the second predetermined time period is experienced in the sleep state and switching to the sleep mode if it is.
6. The mode switching method according to claim 5 , wherein the step of detecting the accumulated footsteps and the sleep state comprises:
executing a high sampling frequency for detecting the accumulated footsteps and the sleep state, wherein the high sampling frequency is greater than a low sampling frequency; and
wherein the step of judging whether the second predetermined period is experienced in the sleep state comprises judging whether the second predetermined period is experienced in a deep sleep state or a shallow sleep state.
7. The mode switching method according to claim 5 , further comprising the following steps after the step of switching to the motion mode:
executing the high sampling frequency for detecting the motion state to capture the accumulated footsteps; and
judging whether an initial time of the sleep mode is reached and switching to the sleep mode if it is; or receiving a manual switching instruction to switch to the sleep mode.
8. The mode switching method according to claim 5 , wherein the step of confirming the current mode being the sleep mode comprises:
confirming the current mode being the sleep mode by knowing that the predetermined initial time of the sleep mode is reached to switch to the sleep mode, or confirming the current mode being the sleep mode by knowing that the manual switching instruction is received to switch to the sleep mode.
9. A wearable equipment comprises a sleep mode capturing unit, a first switching unit, and a second switching unit, wherein,
the sleep mode capturing unit confirms a current mode being a sleep mode and sends an executing instruction to the first switching unit;
the first switching unit receives the executing instruction from the sleep mode capturing unit, detects an accumulated time of a motion state, and judges whether the accumulated time is greater than a first predetermined time period, and switches to a fake sleep mode and sends the executing instruction to the second switching unit if it is; and
the second switching unit receives the executing instruction from the first switching unit, detects an accumulated footsteps and a sleep state, and judges whether the accumulated footsteps in a second predetermined time period is greater than a footsteps threshold, and switches to a motion mode if it is; and judges whether the second predetermined time period is experienced in the sleep state, and switches to the sleep mode if it is.
10. The wearable equipment according to claims 9 , wherein the sleep mode capturing unit includes a confirming sub-unit for confirming the current mode being the sleep mode by knowing that the predetermined time of the sleep mode is reached to switch to the sleep mode, or confirming the current mode being the sleep mode by knowing that the manual switching instruction is received to switch to the sleep mode.
11. The wearable equipment according to claim 9 , wherein the first switching unit further comprises a first switching sub-unit for receiving the executing instruction from the sleep mode capturing unit, executing a low sampling frequency for collecting a motion amplitude, and confirming the accumulated time of the motion state being greater than the first predetermined time period if the probability of the motion amplitude in the first predetermined time period being greater than an amplitude threshold is greater than a predetermined probability.
12. The wearable equipment according to claims 11 , wherein the sleep mode capturing unit includes a confirming sub-unit for confirming the current mode being the sleep mode by knowing that the predetermined time of the sleep mode is reached to switch to the sleep mode, or confirming the current mode being the sleep mode by knowing that the manual switching instruction is received to switch to the sleep mode.
13. The wearable equipment according to claim 11 , wherein the second switching unit comprises a second switching sub-unit for receiving the executing instruction from the first switching unit, executing a high sampling frequency for detecting the accumulated footsteps and the sleep state, wherein the high sampling frequency is greater than the low sampling frequency;
judging whether the accumulated footsteps in the second predetermined time period is greater than the footsteps threshold, and switching to the motion mode if it is; and
judging whether the second predetermined time period is experienced in a deep sleep state or in a shallow sleep state, and switching to the sleep mode if it is.
14. The wearable equipment according to claims 13 , wherein the sleep mode capturing unit includes a confirming sub-unit for confirming the current mode being the sleep mode by knowing that the predetermined time of the sleep mode is reached to switch to the sleep mode, or confirming the current mode being the sleep mode by knowing that the manual switching instruction is received to switch to the sleep mode.
15. The wearable equipment according to claim 13 , further comprising:
a third switching unit, the second switching unit sends the executing instruction to the third switching unit after the second switching unit switches to the motion mode;
the third switching unit receives the executing instruction from the second switching unit and executes the high sampling frequency for detecting the motion state to capture the accumulated footsteps; and
the third switching unit judges whether the initial time of the sleep mode is reached and switches to the sleep mode if it is or receives a manual switching instruction to switch to the sleep mode.
16. The wearable equipment according to claims 15 , wherein the sleep mode capturing unit includes a confirming sub-unit for confirming the current mode being the sleep mode by knowing that the predetermined time of the sleep mode is reached to switch to the sleep mode, or confirming the current mode being the sleep mode by knowing that the manual switching instruction is received to switch to the sleep mode.