價格：免費
更新日期：2019-09-06
檔案大小：42M
目前版本：1.0
版本需求：Android 4.1 以上版本
官方網站：http://www.solecall.hu
Email：info@solecall.hu
聯絡地址：1162 Budapest, Árpádföldi út 90/3
You can control the app easily. When your phone is carried in your pocket, the app can recognise three types of gesture: Sole Beats, Tapping Beats and Bowing Beats.
Sole Beats consists of 3 stomps, with little strength and with that leg, which side you carry your phone on. Tapping Beats consists of 3 tap onto the phone through your pocket, or bag. With these gestures you can go to the next song.
Bowing beats consists of 3 pulling of the border of your pocket and you can go to the previous song with it.
When your phone is carried in your bag you can use Lifting Beats instead of the Bowing Beats.
Please check out our demonstrational video.
How to launch:
Please note: in some smartphones you have to allow the app to keep running while screen is off (battery and/or app settings)
1. Start playing a song with your music player
2. Choose the music mode in the IIIBEATS app and activate it
3. Lock the screen and put the phone in your pocket or bag
4. Either you can go to the next song, or to the previous song with the gestures
To stop the gesture recognition control, push the "Stop" button in the app.
By using the gesture recognition function in the app, you generate sensor data (from accelerometer, orientation, light, temperature sensors). Uploading these sensor data takes place automatically if you are connected to Wi-Fi and the app is opened.
Through these sensor data we can continuously optimize the recognition model in order to offer even better service for you. The more you use the better it will be.
CSR Background
Why the "donation" of these gesture data is even more important? We are developing the SoleCall personal safety app that is based on this technology. This kind of gesture control is very effective for people with disability, so with the usage of the IIIBeats app you support us in providing better service for them too. www.solecall.hu/en
List of compatible music players:
- Spotify
- Google Music
- PowerAmp
- VLC
- HUAWEI, XAOMI, Motorola, LG, Samsung music players
More to follow. Please E-mail us about other players!
The gesture recognition model is based on more than 1000 hours human activity, and about 21000 controlling gestures and has 96% F1 score. It works only with locked screen and when the phone is in your pocket , or bag.
Please practice the strength and the rhythm of the gestures as you can see in the video, and than it should works well.
We recommend to practise the gestures with the games, beacuse they are funny. When you perform one of the controlling gesutre appropriately, the character will jump over the obstackles.
Additional informations to gesture recognition:
Normally it works in standing, sitting or laying position, not while in the move.
In case of phone in the the bag, we recommend to carry the bag on your shoulder, in contact with your body. The results are better when the phone is in a pocket of the bag.
Permissions:
No permission needed
If you have a problem with it please send us a feedback via the app, we are happy to get constructive criticism.