TWI588743B - 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 comprises a positioning unit, an input unit, a timing 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 and a plurality of music identification materials respectively corresponding to the music files. The processing unit is electrically connected to the positioning unit, the input unit, the timing unit and the storage unit.

In a rhythm speed setting program, for each music file, the processing unit can receive a speed setting command via the input unit, and the processing unit adds one of the plurality of rhythm speed labels to the music file according to the speed setting instruction. , wherein the rhythm speed tags are different from each other in a rhythm speed.

In a music playing program, the processing unit calculates a motion record based on the calculation result of the positioning 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.

a training playlist 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 the processing unit further calculates a speed range according to the historical motion data a group, the speed range group includes a plurality of speed ranges respectively corresponding to the rhythm speed labels; 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 further generates a a blank playlist, and adding the music identification data according to the movement speed of the athletic representative data, the speed range group, the predetermined length of time, and the rhythm speed label of the music files 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, in the music playing program, for each played music file, the processing unit can receive a positive evaluation instruction via the input unit, and the processing unit updates a corresponding music according to the positive evaluation instruction. Accumulation of positive comments on files frequency. 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 plays another music file according to the skip instruction. And updating a skip accumulation number corresponding to the skipped music file, the priority order index having a negative correlation with the skip accumulation number.

In some implementations, the number of the speed ranges of the rhythm speed tag and the speed range group is three, wherein a speed range is less than a first speed threshold value S _l and another speed range is greater than the The first speed threshold value is S _l and less than a second speed threshold value S _h , and the further speed range is greater than the second speed threshold value S _h , so that the average value of the motion speeds of the historical motion data is θ, and the standard deviation of the motion velocities of the historical motion data is σ, then S _l = θ - 0.431 × σ, and S _h = θ + 0.431 × σ.

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 speeds in the motion representative data falls within the speed range. And adding, in accordance with the sequence of the movement speeds, the music identification data of the music file corresponding to the one of the speed ranges to the play list according to the order of the movement speeds.

The effect of the invention is that the user can customize the rhythm speed label by the rhythm speed setting program, and learn the user's exercise habits, music preferences and the intensity of the music corresponding to the music playing by the music playing program, and play by training. The list generation program generates a playlist based on the foregoing information, so that the playlist can conform 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; Embodiment FIG. 3 is a flowchart of executing a learning music list generating program in the embodiment; FIG. 4 is a flowchart of executing a music playing program in the embodiment; and FIG. It is a flowchart of the embodiment performing 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 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, the timing unit 3, the speaker unit 4, the storage unit 5, and the input Unit 6 and 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. 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 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.

FIG. 2 shows the flow steps of the portable electronic device 100 executing a rhythm speed setting program. First, as shown in step S01, the processing unit 8 receives a favor setting instruction for the individual music files via the input unit 6. Next, as shown in step S02, the processing unit 8 adds a preference tag to the music file according to the preference setting instruction. Next, as shown in step S03, the processing unit 8 receives a speed setting command for the music file having the preference tag via the input unit 6. Then, as shown in step S04, the processing unit 8 adds a rhythm to the music file according to the speed setting instruction. Speed tag. The rhythm speed labels of this embodiment can be divided into three types, which are slow speed, medium speed and fast rhythm speed labels. In the rhythm speed setting program shown in FIG. 2, the user can input a preference setting command via the input unit 6, so that the music files that the user himself likes and wants to listen to during the exercise are selected from all the music files stored in the storage unit 5. In addition, the user can input a speed setting command via the input unit 6, so that the music file can be classified according to the user's subjective knowledge of the rhythm of the music file. By step S01 and step S02, the music files played by the portable electronic device 100 are all in accordance with the user's preference, and the portable electronic device 100 plays the music file according to the user's determination of the rhythm.

FIG. 3 shows the flow steps 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. 4 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 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. The result and the timing result of the timing unit 3 calculate the speed record. For example, if the full length of the music file is 3 minutes, the processing unit 8 calculates the positioning result of the positioning unit 1 and the timing result of the timing unit 3 during the 1-2 minute period in which the music file is played. Speed 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 contains a plurality of motion speeds, each of which is per unit distance The moving speed representative value of the portable electronic device 100 (for example, km) (the average speed in the embodiment is the speed representative value). Let the number of movement speeds for 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. 5 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 velocities, which are representative values of the moving speeds of the motion records per unit distance (e.g., km) (the average speed is the speed 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 historical sports data. The km/hr and the second motion record are 0 to 1 km, and the average speed is 9.5 km/hr. The calculation speeds of 1 to 2 km and 2 to 3 km are the same as above.

Next, as shown in step S52, the processing unit 8 calculates a speed range group according to the historical motion data, the speed range group includes a plurality of speed ranges, and the number of the speed ranges is the same as the number of types of the rhythm speed labels, and respectively correspond to For different rhythm speed labels, the number of such speed ranges is 3 in this embodiment. The three speed ranges of this embodiment are respectively smaller than the first speed threshold S _l km/hr, the first speed threshold S _l ~ the second speed threshold S _h km/hr and greater than the second speed threshold S _h km /hr. The first speed threshold S _l and the second speed threshold S _h are calculated as follows: S _l = θ - 0.431 × σ

S _h = θ + 0.431 × σ

Where θ is the average of all motion velocities in the historical motion data (eg, 10.167 km/hr), and σ is the standard deviation of all motion velocities in the historical motion data (eg, 0.873 km/hr). Table 3 below exemplifies a speed range group.

Next, as shown in step S53, the processing unit 8 calculates a list time length data according to the N motion speeds of the motion representative data, and the list time length data Contains 2N scheduled cumulative 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 4 below shows an example of the time length of the list.

Next, as shown in step S54, for each music file having speed data, the 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 this embodiment. In the middle, the moving speed S is the average of the speed records.

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 (L-K)/P, where α is a weighting coefficient and is used to represent the weight relationship between the moving speed and the user's preference.

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 S58, the processing unit 8 adds a music identification material to the playlist in accordance with the size of the priority index Δ. In more detail, the processing unit 8 first determines in which speed range the motion-representation data belongs to the p-th motion speed, and then corresponds the speed range to the speed range in the music identification data that has not been added to the playlist, and prioritizes The music identification data with the largest index △ is added to the playlist. For example, referring to Table 5 below, the processing unit 8 determines that the first motion speed (9.25 km/hr) in the motion representative data falls within the first speed range (less than 9.79 km/hr), and the playback will not be added yet. Music recognition data representing a slow rhythm speed tag and having the highest priority index Δ among the music identification data of the list is added to the play list.

Next, as shown in step S59, the processing unit 8 determines whether the playlist cumulative time reaches the nth predetermined cumulative play time, and if not, performs the step again. S58, if yes, execute 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 adds a music identification material indexed without priority to the playlist. In more detail, the processing unit 8 associates the rhythm speed tag with the speed range (the speed range in which the p-th moving speed falls in the motion representative data) among the music identification data that has not been added to the playlist, and has no priority index. The music identification data corresponding to the music file is randomly added to the playlist. Next, as shown in step S62, the processing unit 8 determines whether the playlist cumulative time has reached the nth predetermined cumulative play time, and if not, executes step S61 again, and if so, 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. 4 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 based on the motion representative data, the speed range group, and the rhythm speed label, and the playlist can conform to the user's motion. Customizing; and by the processing unit 8 sorting the playlist according to the priority index Δ, and the priority index Δ has a positive correlation with the moving speed S of the music file, the playlist has the effect of improving the user's athletic performance, and further, borrowing The priority index Δ has a positive correlation with the positive evaluation cumulative number L. Therefore, 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 is used to The skipped cumulative number K has a negative correlation, so the playlist can make the user listen to or not apply to the sorting of the music files of 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 played, and the cumulative number of times of playing the music file is simultaneously generated. P, skip the cumulative number of times K, the number of positive evaluations L and the speed record.

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 faster music file represented by the other rhythm speed label; when the processing unit 8 receives the deceleration command, the processing unit 8 The music identification data corresponding to the slower music file represented by the other rhythm speed label replaces the music identification data corresponding to the music file being played in the music/play list.

In summary, the portable electronic device 100 of the present invention is set by the rhythm speed The program allows the user to customize the rhythm speed label, and learns the user's exercise habits, music preferences, and the intensity of the music corresponding to the music playing by the music playing program, and generates a playlist based on the aforementioned information by training the playlist generating program. The playlist can be made to 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 (8)

A portable electronic device includes: a positioning unit for calculating a current position of the portable electronic device; an input unit; a timing unit; a storage unit storing a plurality of music files and a plurality of pairs respectively Waiting for the music identification data of the music file; and a processing unit electrically connected to the positioning unit, the input unit, the timing unit and the storage unit; in a rhythm speed setting program, for each music file, the processing unit can Receiving, by the input unit, a speed setting instruction input by a user, the processing unit adding one of a plurality of rhythm speed labels to the music file according to the speed setting instruction, wherein the rhythm speed labels represent a rhythm of each other The speed is different; in a music playing program, the processing unit calculates a motion record based on the calculation result of the positioning unit and the timing result of the timing unit and stores the motion record to a historical motion data, the motion record includes a plurality of sequential motions Speed; in a training playlist generating program, the processing unit is based on the historical sports data Calculating a motion representative data, the motion representative data includes a plurality of sequential motion speeds; the processing unit further calculates a speed range group according to the historical motion data, the speed range group comprising a plurality of speed rhythm labels respectively corresponding to the Speed range; the processing unit is also based on the motion The representative data generates a plurality of predetermined lengths of time corresponding to the speed of movement; the processing unit further generates a blank playlist, and according to the moving speed of the athletic representative data, the speed range group, the predetermined length of time and The rhythm speed labels of the music files, and the music identification materials are added to the 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 Calculating the speed of the positioning unit received between the time ratios Degree record. The portable electronic device of claim 1, wherein, in the music playing program, for each played music file, the processing unit can receive a positive evaluation instruction via the input unit, and the processing unit is configured according to the positive The evaluation instruction updates a cumulative number of positive evaluations corresponding to the music file; in the training play list generating program, the processing unit generates a priority index for each of the music files having the moving speed, the priority order index corresponding to the music file The positive evaluation cumulative number has a positive correlation; the processing unit further determines the 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 1, wherein, in the music playing program, for each played music file, the processing unit can receive a skip instruction via the input unit, the processing unit according to the jump An instruction update corresponding to the skipped cumulative number of the skipped music file; the training playlist generating program, the processing unit generating a priority index for each of the music files having the moving speed, the priority index and The skip accumulation number has a negative correlation; 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 number of the speed ranges of the tempo speed tag and the speed range group is three, wherein a speed range is less than a first speed threshold S ₁ The other speed range is greater than the first speed threshold value S ₁ and less than a second speed threshold value S _h , and the other speed range is greater than the second speed threshold value S _h , so that the historical motion data The average value of the motion speeds is θ, and the standard deviation of the motion speeds of the historical motion data is σ, then S ₁ = θ - 0.431 × σ, and S _h = θ + 0.431 × σ. The portable electronic device of claim 1, wherein in the step of the training playlist generating program adding the music identification data to the playlist, the processing unit sequentially determines each of the sports representative materials The moving speed falls within one of the speed ranges, and the music identification data of the music file corresponding to the one of the speed ranges is added according to the order of the moving speeds according to the predetermined time lengths The playlist.