Exercise sensing method, apparatus and system

1. An exercise sensing method adapted for an exercise sensing system comprising a computing device and at least one biophysical quantity sensor, which is disposed on at least one muscle portion of a user, the exercise sensing method comprising:

monitoring an EMG signal of the at least one muscle portion when the user performs an exercise with the at least one biophysical quantity sensor;

calculating an average signal of the EMG signal for a complete cycle to obtain a muscle strength corresponding to the at least one muscle portion;

obtaining a muscle strength curve according to the muscle strength, and calculating a peak value of the muscle strength curve as a current muscle strength of the at least one muscle portion;

accessing an exercise history of the user to obtain a muscle strength reference value of the at least one muscle portion when the user previously performed the exercise; and

calculating a change percentage of the current muscle strength relative to the muscle strength reference value to compare the current muscle strength with the muscle strength reference value, and adjusting a menu of the exercise according to the change percentage to increase or decrease an exercise intensity of the exercise.

2. The exercise sensing method according to claim 1 , wherein comparing the current muscle strength with the muscle strength reference value to adjust the exercise intensity of the exercise further comprises:

equivalently converting an adjusted menu to a substitute machine, and instructing the user to implement a converted menu using the substitute machine, comprising:

calculating a current muscle exertion total work of a current machine under an adjusted exercise intensity, and a substitute muscle exertion total work of the substitute machine under the exercise intensity in one cycle; and

calculating a ratio of the current muscle exertion total work to the substitute muscle exertion total work to serve as a conversion factor under the same exercise intensity, wherein a training amount of the converted menu is a total training amount of the original menu multiplied by the conversion factor.

3. The exercise sensing method according to claim 1 , wherein the exercise sensing system further comprises a heart rate sensor, and the exercise sensing method further comprises:

monitoring a current heart rate when the user performs the exercise with the heart rate sensor;

accessing the exercise history of the user to obtain a heart rate reference value when the user previously performed the exercise; and

comparing the current heart rate with the heart rate reference value to adjust the exercise intensity of the exercise or suspend the user from performing the exercise.

4. The exercise sensing method according to claim 1 , further comprising:

recording the current muscle strength in the exercise history to serve as the muscle strength reference value.

5. An exercise sensing system, comprising:

at least one biophysical quantity sensor disposed on at least one muscle portion of a user to sense a force exerted by the at least one muscle portion;

a storage device recording an exercise history of the user; and

a computing device coupled to the at least one biophysical quantity sensor and the storage device, and configured to:

monitor an EMG signal of the at least one muscle portion when the user performs an exercise with the at least one biophysical quantity sensor;

calculate an average signal of the EMG signal for a complete cycle to obtain a muscle strength corresponding to the at least one muscle portion;

monitor a current muscle strength of the at least one muscle portion;

monitor the muscle strength to obtain a muscle strength curve, and calculate a peak value of the muscle strength curve as a current muscle strength of the at least one muscle portion;

access the exercise history of the user from the storage device to obtain a muscle strength reference value of the at least one muscle portion when the user previously performed the exercise; and

calculate a change percentage of the current muscle strength relative to the muscle strength reference value to compare the current muscle strength with the muscle strength reference value, and adjust a menu of the exercise according to the change percentage to increase or decrease an exercise intensity of the exercise.

6. The exercise sensing system according to claim 5 , wherein the computing device further equivalently converts an adjusted menu to a substitute machine, and instructs the user to implement a converted menu using the substitute machine, comprising: calculating a current muscle exertion total work of a current machine under an adjusted exercise intensity and a substitute muscle exertion total work of the substitute machine under the exercise intensity in one cycle, and calculating a ratio of the current muscle exertion total work to the substitute muscle exertion total work to serve as a conversion factor under the same exercise intensity, wherein a training amount of the converted menu is a total training amount of the original menu multiplied by the conversion factor.

7. The exercise sensing system according to claim 5 , wherein the computing device further comprises a heart rate sensor, and the computing device further monitors a current heart rate when the user performs the exercise with the heart rate sensor, accesses the exercise history of the user to obtain a heart rate reference value when the user previously performed the exercise, and compares the current heart rate with the heart rate reference value to adjust the exercise intensity of the exercise or suspend the user from performing the exercise.

8. The exercise sensing system according to claim 5 , wherein the computing device further records the current muscle strength in the exercise history in the storage device to serve as the muscle strength reference value.

9. An exercise sensing apparatus, comprising:

a connecting device receiving a force exerted by at least one muscle portion of a user monitored by at least one biophysical quantity sensor disposed on the at least one muscle portion;

a storage device recording an exercise history of the user; and

a computing device coupled to the connecting device and the storage device, and configured to:

receive an EMG signal corresponding to the force exerted by the at least one muscle portion monitored by the at least one biophysical quantity sensor when the user performs an exercise with the connecting device;

calculate an average signal of the EMG signal for a complete cycle to obtain a muscle strength corresponding to the force exerted by the at least one muscle portion;

obtain a muscle strength curve according to the muscle strength, and calculate a peak value of the muscle strength curve as a current muscle strength of the at least one muscle portion;

access the exercise history of the user from the storage device to obtain a muscle strength reference value of the at least one muscle portion when the user previously performed the exercise; and

calculate a change percentage of the current muscle strength relative to the muscle strength reference value to compare the current muscle strength with the muscle strength reference value to adjust, and adjust a menu of the exercise according to the change percentage to increase or decrease an exercise intensity of the exercise.

10. The exercise sensing apparatus according to claim 9 , wherein the computing device further equivalently converts an adjusted menu to a substitute machine, and instructs the user to implement a converted menu using the substitute machine, comprising: calculating a current muscle exertion total work of a current machine under an adjusted exercise intensity and a substitute muscle exertion total work of the substitute machine under the exercise intensity in one cycle, and calculating a ratio of the current muscle exertion total work to the substitute muscle exertion total work to serve as a conversion factor under the same exercise intensity, wherein a training amount of the converted menu is a total training amount of the original menu multiplied by the conversion factor.

11. The exercise sensing apparatus according to claim 9 , wherein the computing device further receives a current heart rate monitored by a heart rate sensor when the user performs the exercise with the connecting device, accesses the exercise history of the user from the storage device to obtain a heart rate reference value when the user previously performed the exercise, and compares the current heart rate with the heart rate reference value to adjust the exercise intensity of the exercise or suspend the user from performing the exercise.

12. The exercise sensing apparatus according to claim 9 , wherein the computing device further records the current muscle strength in the exercise history in the storage device to serve as the muscle strength reference value.