TWI590241B - Portable electronic device - Google Patents

Description

Portable electronic device

The present invention relates to a portable electronic device, and more particularly to a portable electronic device capable of playing a music file.

At present, smart phones equipped with specific applications are available for users to carry while exercising, so that users can listen to music through smart phones while exercising. The smart phone can analyze the beats per minute (BPM) and play the music file with the faster the rhythm when the set exercise intensity is stronger, so that the user is stimulated by the music to improve the exercise effect.

However, each user feels differently about the rhythm of the same music, and the same music has different stimulating effects on the user during exercise. How to make the related technology of music to enhance sports performance more personal, has become the subject of further discussion in this case.

Accordingly, it is an object of the present invention to provide a portable electronic device.

Therefore, the portable electronic device of the present invention is suitable for a user when exercising The portable electronic device includes a positioning unit, a motion detecting unit, a timing unit, a speaker unit, a storage unit, and a processing unit. The positioning unit is configured to calculate a current location of the portable electronic device. The storage unit stores a plurality of music files, a plurality of music identification materials respectively corresponding to the music files, and a step frequency range group, and the step frequency range group includes a plurality of step frequency ranges. The processing unit is electrically connected to the positioning unit, the motion detecting unit, the timing unit, the speaker unit, and the storage unit.

In a music playing program, the processing unit calculates a motion record based on the calculation result of the positioning unit, the detection result of the motion detecting unit, and the timing result of the timing unit, and stores the motion record to a historical motion data, where the motion record includes a plurality of sequential motion speeds and a plurality of sequential motion pitches, and the processing unit further plays the music files via the speaker unit, and calculates a step frequency record for each of the played music files and stores the A step frequency data corresponding to the music file.

a training playlist generating program, wherein the processing unit calculates a motion representative data according to the historical motion data, the motion representative data includes a plurality of sequential motion speeds and a plurality of sequential motion pitch frequencies; a music file of the step frequency data, the processing unit calculates a step frequency label according to the step frequency record of the step frequency data, and adds the step frequency label to the music file; the processing unit further generates multiple according to the motion representative data Respectively corresponding to a predetermined length of time for the speed of movement; the processing unit further generates a blank playlist, and based on the motion step frequency of the motion representative data, the step frequency range group, the predetermined length of time, and the music File step Frequency tag, the music identification data is added to the playlist.

In some implementations, in the music playing program, for each played music file, the processing unit calculates a speed record according to the calculation result of the positioning unit and stores the speed data to a speed data corresponding to the music file. The training playlist generating program, the processing unit calculates a moving speed corresponding to the music file for each music file having the speed data, and generates a priority index corresponding to the music file according to the moving speed, The priority index has a positive correlation with the speed of movement of the music archive. The processing unit further determines a play order of the music identification materials in the playlist according to the size of the priority order index.

In some implementations, in the music playing program, when the ratio of the length of time that the played music file is played to the full length of the played music file reaches a predetermined playing ratio, the processing unit is played for the music playing program. The music file calculates the speed record.

In some implementations, in the music playing program, for each music file that is played to the predetermined playback ratio, the processing unit receives the ratio between a predetermined start time ratio and a predetermined end time ratio. The calculation result of the positioning unit calculates the speed record.

In some implementations, the portable electronic device further includes an input unit electrically connected to the processing unit, wherein the music playing program is capable of receiving, by the processing unit, the input unit for each played music file. The unit receives a positive evaluation instruction, The processing unit updates a cumulative number of positive evaluations corresponding to the music file according to the positive evaluation instruction. The priority index has a positive correlation with the cumulative number of positive evaluations corresponding to the music file.

In some implementations, in the music playing program, for each played music file, the processing unit can receive a skip instruction via the input unit, and the processing unit updates a corresponding to the Skip cumulative number of skipped music files. The priority index has a negative correlation with the number of skip accumulations.

In some implementations, in the step of the training playlist generating program adding the music identification data to the playlist, the processing unit sequentially determines that each of the motion step frequencies in the motion representative data falls in the step Within one of the frequency ranges, and according to the sequence of the motion steps, and according to the predetermined length of time, the music identification data of the music file in which the step frequency tag falls within the one-step frequency range is added to the play list.

The effect of the invention is: learning the user's exercise habits, music preferences and the intensity of the music corresponding to the music playing by the music playing program, and generating a playlist according to the aforementioned information by training the playlist generating program, so that the playlist can be made It conforms to the user's exercise habits, music preferences, and has the effect of improving the user's athletic performance.

100‧‧‧Portable electronic devices

1‧‧‧ Positioning unit

2‧‧‧Dynamic detection unit

3‧‧‧Time unit

4‧‧‧ Speaker unit

5‧‧‧ storage unit

6‧‧‧Input unit

7‧‧‧Display unit

8‧‧‧Processing unit

S01~S64 ‧‧‧Process steps

Other features and advantages of the present invention will be apparent from the embodiments of the present invention. FIG. 1 is a schematic diagram of a hardware connection relationship of an embodiment of the portable electronic device of the present invention; The embodiment executes a flowchart of a learning music list generating program; FIG. 3 is a flowchart of the embodiment of executing a music playing program; and FIG. 4 is a flowchart of the embodiment executing a training playlist generating program.

Referring to FIG. 1 , an embodiment of the portable electronic device 100 of the present invention is suitable for a user (not shown) to carry during exercise. The portable electronic device 100 includes a positioning unit 1 and a motion detecting unit 2 . a timing unit 3, a speaker unit 4, a storage unit 5, an input unit 6, a display unit 7, and a processing unit 8, the processing unit 8 is electrically connected to the positioning unit 1, the motion detecting unit 2, and the timing unit 3. The speaker unit 4, the storage unit 5, the input unit 6, and the display unit 7.

The positioning unit 1 can calculate the current position of the portable electronic device 100 according to the GPS satellite signal. The motion detection unit 2 is configured to detect the dynamics of the portable electronic device 100. The motion detection unit 2 of the embodiment includes an acceleration sensor and a gyroscope. The storage unit 5 stores a plurality of music files, and a plurality of music identification materials respectively corresponding to the music files. The input unit 6 includes a touch panel unit and a plurality of buttons in this embodiment. key. The display unit 7 is a liquid crystal display unit in this embodiment. The processing unit 8 can calculate the moving distance of the portable electronic device 100 according to the calculation result of the positioning unit 1, and calculate the moving speed of the portable electronic device 100 with the timing result of the timing unit 3; in addition, the processing unit 8 can Calculating the step of the user according to the detection result of the motion detecting unit 2, and calculating the step frequency of the user with the timing result of the timing unit 3, the step frequency referred to in the present invention is in unit time The number of steps, such as the steps per minute (Steps per minute). In addition, the processing unit 8 also plays a music file via the speaker unit 4. The portable electronic device 100 in this embodiment is a smart phone, but is not limited thereto.

2 shows a flow sequence of the portable electronic device 100 executing a learning music list generating program. First, as shown in step S11, the processing unit 8 generates a blank music list. Next, as shown in step S12, the processing unit 8 adds a music identification material to the music list. In this embodiment, the processing unit 8 selects one of the music identification materials in a random manner, and adds the music identification data to the music list. However, the manner in which the processing unit 8 selects the music identification data is not limited to the embodiment. Next, as shown in step S13, the processing unit 8 determines whether the music list accumulation time has reached a predetermined exercise time, and if not, proceeds to step S12, and if so, the flow ends. That is to say, the processing unit 8 continues to add the music identification material to the music list until the music list accumulation time is not less than the predetermined exercise time. After the learning music list generating program ends, the music list for learning the user's tendency to move is generated. Set the music list The number of music recognition materials is M.

FIG. 3 shows the flow steps of the portable electronic device 100 executing a music playing program. The music player may be a playlist for playing the learning tendency of the user to learn, or a playlist generated for playing a training playlist generating program (see FIG. 5). This paragraph is an example of playing the music list as an example of how to learn the user's movement tendency. First, as shown in step S31, the processing unit 8 causes a count parameter m=1. Next, as shown in step S32, the processing unit 8 starts playing the music file corresponding to the mth music identification material via the speaker unit 4. Next, as shown in step S33, the processing unit 8 updates a cumulative number of times of play P corresponding to the played music file (e.g., increments the value of P by 1, i.e., P = P + 1).

Next, as shown in step S34, the processing unit 8 determines whether a skip instruction has been received, and if not, proceeds to step S38. In step S38, the processing unit 8 determines that the music file has been played, and if not, executes step S34 again, and if yes, executes step S39. On the other hand, when the result of the determination in step S34 is YES, step S35 is performed. The processing unit 8 determines whether the playing time of the skipped music file reaches a predetermined playing ratio. In this embodiment, the processing unit 8 determines whether the ratio of the length of time the skipped music file is played to the full length of time of the skipped music file reaches 2/3. When the determined result at step S35 is YES, step S39 is performed, and when the determined result at step S35 is NO, step S36 is executed. Step S36 is that the processing unit 8 updates a skip cumulative number K corresponding to the played music file. (For example, increase the value of K by 1, ie K=K+1). Next, as shown in step S37, the processing unit 8 replaces the mth music identification material of the music list with another music identification material.

Step S39: The processing unit 8 calculates a speed record (in the present embodiment, an average speed) according to the positioning result of the positioning unit 1 during the playback of the music file and the timing result of the timing unit 3, and stores the speed record to A speed data corresponding to the music file. The portable electronic device 100 generates a speed record every time the music playing program is executed and stores it in the speed data.

In step S39, the processing unit 8 further calculates a one-step frequency record (in the present embodiment, an average step frequency) according to the detection result of the motion detection unit 2 during the period in which the music file is played and the timing result of the timing unit 3. The step frequency record is stored to a step frequency data corresponding to the music file. Each time the portable electronic device 100 executes the music playing program, a step frequency record is generated and stored in the stride data.

In this embodiment, the processing unit 8 locates the positioning unit 1 during a period between a predetermined start time ratio (for example, 1/3) and a predetermined end time ratio (for example, 2/3) according to the music file being played. And the result of the timing of the timing unit 3, calculating the speed record, and detecting the detection result and timing of the motion detecting unit 2 according to the period during which the music file is played between the predetermined start time ratio and the predetermined end time ratio The timing result of unit 3 is calculated. For example, if the full length of the music file is 3 minutes, the processing unit 8 is played according to the music file. The positioning result of the positioning unit 1 and the timing result of the timing unit 3 during 1~2 minutes, the speed record is calculated, and the detection result and timing unit of the motion detecting unit 2 are played during 1~2 minutes according to the music file. The timing result of 3 calculates the step frequency record.

Next, as shown in step S40, the processing unit 8 determines whether the count parameter m has reached M, that is, whether all the music identification data in the music list has been played, and if so, step S42 is performed, otherwise step S41 is performed. In step S41, the count parameter m is incremented by 1, that is, m=m+1, and then step S32 is performed.

In step S42, the processing unit 8 stores a motion record to a historical exercise data. The motion record includes multiple motion speeds and multiple motion steps. The motion speeds are representative values of the moving speed of the portable electronic device 100 per unit distance (for example, km) (the average speed in the embodiment is the speed representative value). The motion step frequency is a step frequency representative value of the user per unit distance (for example, km) (the average step frequency is the step frequency representative value in this embodiment). Let the number of movement speeds/motion steps of each movement record be N. Each time the portable electronic device 100 executes the music playing program, a motion record is generated and stored in the historical sports data. Historical sports data is shown in Table 1 below.

Next, as shown in step S43, the processing unit 8 receives a positive evaluation instruction for each music file via the input unit. Finally, as shown in step S44, the processing unit 8 updates the cumulative number L of positive evaluations corresponding to each of the played music files in accordance with the positive evaluation instruction. Steps S43 and S44 are for the user to give back the music files that are satisfactory to them, and count them by the cumulative number of positive evaluations.

FIG. 4 shows the flow steps of the portable electronic device 100 executing a training playlist generating program. First, as shown in step S51, the processing unit 8 calculates a motion representative profile based on the historical exercise data. The motion representative data includes N motion speeds and N motion pitches. The motion speeds of the motion representative data are representative values of the moving speeds of the motion records per unit distance (e.g., km) (the average speed in the present embodiment is the speed representative value). The motion step coefficients of the motion representative data are the step frequency representative values of the motion records per unit distance (e.g., km) (the average step frequency is the step frequency representative value in this embodiment). Table 2 below shows an example of sports representative data. The movement speed of 0~1km is 9.25km/hr, which is the first movement record of 0~1km in the historical sports data. The movement speed is 9.0km/hr and the second movement record is 0~ The 1km motion speed is 9.5km/hr average; the 0~1km motion step frequency 138steps/min is the first step of the historical sports data, the 0-1km motion step frequency 135steps/min and the second motion record. The motion step frequency of 0~1km is averaged by 141steps/min; the calculation of the motion speed and the motion step frequency of 1~2km and 2~3km is the same as above.

Next, as shown in step S52, for each music file having the stride data, the processing unit 8 calculates a step frequency tag according to the stride record of the stride data, and adds the stride tag to the music file. In this embodiment, the stride label is an average of the stride records of the stride data.

Next, as shown in step S53, the processing unit 8 calculates a list time length data based on the N motion speeds of the motion representative data, the list time length data including 2N predetermined accumulated play times. In more detail, the processing unit 8 calculates a predetermined time length per unit distance (for example, km) for each motion speed of the motion representative data; and divides each predetermined time length into two divided time lengths according to a predetermined time ratio. The predetermined time ratio in this embodiment is 7:3; and the lengths of the splits are accumulated item by item, and 2N predetermined accumulated play times are generated. Table 3 below gives an example of the time length of the list.

Then, as shown in step S54, for each music having speed data The file processing unit 8 calculates a moving speed S corresponding to the music file based on at least one speed record of the speed data of the music file. In the embodiment, the moving speed S is an average value of the speed record.

Next, as shown in step S55, for each music file having the moving speed S, the processing unit 8 calculates a corresponding one according to the moving speed S, the positive evaluation cumulative number L, the skip cumulative number K, and the playback cumulative number P. The priority index of the music file is index △. The priority index Δ has a positive correlation with the moving speed S and the positive evaluation cumulative number L, and has a negative correlation with the skip cumulative number K. In the present embodiment, Δ=S+α(LK)/P, where α is A weighting coefficient is used to represent the weighting relationship between the moving speed and the user's preference. For example, when S=9.4, α=2, L=1, K=2, P=5, then Δ=9.4+2(1-2)/5=9.

Next, as shown in step S56, the processing unit 8 generates a blank playlist for training. Next, as shown in step S57, the processing unit 8 causes a count parameter n = 1, and a count parameter p = 1.

Next, as shown in step SS8, the processing unit 8 adds a music identification material to the playlist in accordance with the size of the priority index Δ. A more detailed step of step S58 is explained below. The storage unit 5 stores a step frequency range group, and the step frequency range group includes a plurality of step frequency ranges. Table 4 below shows an example of a step frequency range group. The processing unit 8 first determines which step frequency range the p-th motion step frequency in the motion representative data falls in, and then the music frequency file corresponding to the music identification data that has not been added to the play list, the step frequency label falls in the same step. The music identification data of the music file with the highest priority index △ in the frequency range is added to the play list. For example, referring to Table 5 below, the processing unit 8 determines that the first motion pitch (138steps/min) in the motion representative data falls within the third speed range (120~139steps/min), and the playback will not be added yet. The music identification data of the music file corresponding to the music profile corresponding to the music identification data of the list also falls within the third speed range and the music file with the highest priority index △ is added to the play list.

Next, as shown in step S59, the processing unit 8 determines whether the playlist cumulative time has reached the nth predetermined cumulative play time, and if not, executes step S58 again, and if so, proceeds to step S60. Step S60 adds 1 to the count parameter n, that is, n=n+1.

Next, as shown in step S61, the processing unit 8 randomly adds a music recognition material indexed without priority to the playlist. Next, as shown in step S62, the processing unit 8 determines whether the playlist cumulative time reaches the nth predetermined cumulative play. If not, the process proceeds to step S61 again, and if so, the process proceeds to step S63.

Step S63 is that the processing unit 8 determines whether the count parameter n has reached 2N, and if not, executes step S64. Step S64 adds 1 to the count parameters n and p, that is, n=n+1, p=p+1. Then step S58 is executed again. On the other hand, if the decision result in the step S63 is YES, the flow ends.

The portable electronic device 100 executes the music playing program as shown in FIG. 3 after completing the training playlist generating program, and plays the playlist generated by the training playlist generating program when the music playing program is executed this time, for the user to exercise. While listening to the portable electronic device 100, the music file of the playlist is played. In the training playlist generating program, the processing unit 8 generates a playlist according to the motion representative data, the stride range group and the stride label, and the playlist can conform to the user's exercise habit; and the processing unit 8 according to the priority order The index Δ sorts the playlist, and the priority index Δ has a positive correlation with the moving speed S of the music file, so the playlist has the effect of improving the user's athletic performance, and further, the priority index Δ is accumulated by the positive index. The number of times L has a positive correlation, so the playlist has an effect that matches the user's preference, and the user's favorite music file is preferentially played. Further, the priority index Δ has a negative correlation with the skip cumulative number K, so The playlist can make the user listen to the music files that are tired or unsuitable for this exercise intensity.

In addition, by adding the identification data of the music file without the priority index △ to the playlist according to the predetermined time ratio (7:3), the unplayed song can be made It is played, and at the same time, the accumulated number of times P, the cumulative number of skips K, the cumulative number of positive evaluations L, and the speed record of the music file are generated.

In addition, in another implementation manner, in the music playing program, the processing unit 8 further determines whether an acceleration instruction or a deceleration instruction is received via the input unit 6, and when the processing unit 8 receives the acceleration instruction, processing The unit 8 replaces the music identification data corresponding to the music file being played in the music/play list with the music identification data of the music file with the higher step frequency represented by the other step frequency label; when the processing unit 8 receives the deceleration command, the processing unit 8 The music identification data corresponding to the music file being played in the music/play list is replaced by the music identification data of the music file with lower pitch frequency represented by another step frequency label.

In summary, the portable electronic device 100 of the present invention learns the user's exercise habits, music preferences, and exercise intensity corresponding to the music playing by the music playing program, and generates a playlist according to the foregoing information by training the playlist generating program. The playlist can conform to the user's exercise habits and musical preferences, and has the effect of improving the user's athletic performance, so that the object of the present invention can be achieved.

However, the above is only the embodiment of the present invention, and the scope of the invention is not limited thereto, and all the equivalent equivalent changes and modifications according to the scope of the patent application and the patent specification of the present invention are still The scope of the invention is covered.

S51~S64‧‧‧ Process steps

Claims (7)

A portable electronic device is adapted to be carried by a user during movement. The portable electronic device includes: a positioning unit for calculating a current position of the portable electronic device; a dynamic detecting unit; and a timing a unit; a storage unit, storing a plurality of music files, a plurality of music identification data respectively corresponding to the music files, and a step frequency range group, the step frequency range group comprising a plurality of step frequency ranges; a processing unit electrically connected to the positioning unit, the motion detecting unit, the timing unit, the speaker unit, and the storage unit; in a music playing program, the processing unit is based on a calculation result of the positioning unit, the dynamic The detection result of the detecting unit and the timing result of the timing unit calculate a motion record and store it to a historical motion data, the motion record includes a plurality of sequential motion speeds and a plurality of sequential motion step frequencies, and the The processing unit further plays the music files via the speaker unit, and calculates a step frequency record for each of the played music files and stores the corresponding one to the corresponding The step frequency data of the music file; in the training play list generating program, the processing unit calculates a motion representative data according to the historical motion data, the motion representative data includes a plurality of sequential motion speeds and a plurality of sequential motion steps Frequency; for each music file having the stride data, the processing unit according to the frequency The step frequency record of the material calculates a step frequency label, and adds the step frequency label to the music file; the processing unit further generates a plurality of predetermined time lengths respectively corresponding to the motion speeds according to the motion representative data; the processing unit And generating a blank playlist, and adding the music identification data according to the motion step frequency of the motion representative data, the step frequency range group, the predetermined time lengths, and the pitch labels of the music files. Playlist. The portable electronic device of claim 1, wherein, in the music playing program, for each played music file, the processing unit calculates a speed record according to the calculation result of the positioning unit and stores it to a corresponding The speed data of the music file; the training playlist generating program, the processing unit calculates a moving speed corresponding to the music file for each music file having the speed data, and generates a corresponding to the moving speed according to the moving speed a priority index of the music file, the priority index having a positive correlation with the moving speed of the music file; the processing unit further determining a playing order of the music identification data in the playlist according to the size of the priority order index. The portable electronic device of claim 2, wherein, in the music playing program, when the ratio of the length of time the played music file is played to the full length of the played music file reaches a predetermined playing ratio, The processing unit calculates the speed record for the played music file. The portable electronic device of claim 3, wherein, in the music playing program, for each music file that is played to reach the predetermined playing ratio, the processing unit is for a predetermined starting time ratio and a predetermined termination Time The speed record is calculated by the calculation result of the positioning unit received between the ratios. The portable electronic device of claim 1, further comprising an input unit electrically connected to the processing unit, wherein the music playing program is capable of receiving, by the input unit, the data unit for each played music file. a positive evaluation instruction, the processing unit updates a cumulative number of positive evaluations corresponding to the music file according to the positive evaluation instruction; and in the training play list generating program, the processing unit generates a priority order for each of the music files having the moving speed The index has a positive correlation with the cumulative number of positive evaluations corresponding to the music file; the processing unit further determines a play order of the music identification data in the playlist according to the size of the priority index. The portable electronic device of claim 1, further comprising an input unit electrically connected to the processing unit, wherein the music playing program is capable of receiving, by the input unit, the data unit for each played music file. a skip instruction, the processing unit updates a skip cumulative number corresponding to the skipped music file according to the skip instruction; and the training playlist generating program, the processing unit is configured for each of the music files having the moving speed A priority index is generated, and the priority index has a negative correlation with the skip accumulation number; the processing unit further determines a play order of the music identification data in the playlist according to the size of the priority order index. The portable electronic device of claim 1, wherein the training playlist generating program adds the music identification data to the playlist. In the step, the processing unit sequentially determines that each of the motion step frequencies in the motion representative data falls within one of the step frequency ranges, and according to the sequence of the motion step frequencies and according to the predetermined time lengths The step frequency tag is added to the play list in the music identification data of the music file in the one-step frequency range.