Clock Tuner（包名：com.athumbsoft.pendulumtuner）開發者是BuzzSoft，Clock Tuner的最新版本2.71更新時間為2021年10月02日。Clock Tuner的分類是工具。您可以查看Clock Tuner的開發者下的所有應用並找到Clock Tuner在安卓上的200個相似應用。目前這個應用免費。該應用可以從APKFab或Google Play下載到Android 7.1+。APKFab.com的所有APK/XAPK文檔都是原始文檔並且100%安全下載的資源。
This app is to measure the BPH(Beats per hour) of mechanical watches.
It will display time error per day as well.
The app uses microphone to measure BPH.
** Recommend to plug a microphone into phone and attach the microphone to the back of your watch.
** Basic version display wave graph and pulse interval histogram.
** Frequency display requires 'Premium' upgrade.
** Please test the app with your watch before you purchase 'Premium' upgrade. The app will work as Premium during 30 min.
Not for digital clocks.
Not working in noisy environment.
Set microphone direction toward a clock.
- Review from Mr. Kojima
- Preset example
Rolex or mechanical watch: Target frequency: 4 or 5Hz, Sample duration: 2Sec, Sensitivity: manual 50
Most pendulum clock: Target frequency: 1 or 2 Hz, Sample duration: 5 or 10 Sec, Sensitivity: medium
1) in the settings there is a sensitivity option with a high, medium, low and 3 manual settings, can you explain how this changes the results
It determines sound amplitude threshold for detecting clock sound. If your clock sound is loud you may reduce sensitivity. This will allow more environmental noises.
If you increase the sensitive, you may measure hand watches. But small noise may measurement errors.
2) why does the detected frequency change between light grey, black and red
Red means smaller drift during the measurement interval while grey means that measurement may have an error.
3) the average frequency does not always calculate, it stays at NaN
The 'detected frequency' should be red continuously.
4) how do you calculate the pulse drift %
abs(max detected frequency - min detected frequency) / detected frequency during 1 detection cycle.
5) what are the 2 graphs showing and what data are you using for the calculations
The size of bars in the upper graph should be almost the same.
The bottom shows amplitude of sound wave recorded from micro phone.
6) are newer versions of the app being developed
** You may provide sound sample by sending wav or mp3 file to [email protected]