Alpha 2 Release (14 Aug 2008) for Neo Freerunner
Remark: Please watch the video, so that you'd know what to expect out of the Alpha 2 Release.
Alpha 2 Release: The Quick Way
SSH Neo Freerunner:
wget http://accelges.googlecode.com/files/accelges_0.1.0-svnr204-r2_armv4t.ipk opkg install accelges_0.1.0-svnr204-r2_armv4t.ipk
On The Neo Freerunner (don't use SSH here, as screen orientation won't work if you use SSH):
You're ready: make a gesture, make Neo change its screen orientation (if you did watch the video, you'll know what to do).
Alpha 2 Release Details
- You can use any distribution you like; I would suggest using the 2008.8 for now. You'll need these dependencies:
dbus, dbus-glib, libxrandr, libnotify, notification-daemon, libcurl, and gtk+
- On the 2008.8, you'll be missing:
libnotify, notification-daemon, libsexy2, libwnck-1-18, libstartup-notification-1-0, and libglade-2
Remark: On the 2008.8, your missing dependencies will be downloaded automatically by the installer.
Preparing 2008.8 for Gestures
- Turn off Suspend:
Home > Settings > Suspend > off
- Make sure Neo has Web Access (use SSH):
echo "nameserver xxx.xxx.xxx.xxx" > /etc/resolv.conf
- Install Terminal:
Home > Installer > Development > openmoko-terminal2
- Create a shell script that will start the gesture listener daemon (use SSH):
echo "exec /etc/init.d/gesl start" > /usr/bin/gesl-begin chmod +x /usr/bin/gesl-begin
- Restart Neo!
- Download the Alpha 2 Release Package, or (use SSH):
echo "nameserver xxx.xxx.xxx.xxx" > /etc/resolv.conf wget http://accelges.googlecode.com/files/accelges_0.1.0-svnr204-r2_armv4t.ipk
opkg install accelges_0.1.0-svnr204-r2_armv4t.ipk
- Launch the Gesture Manager:
Home > Gestures
- Select a gesture and click the first icon on the toolbar; Follow the instructions. Do the same for all the gestures!
- Restart the Gesture Recognizer (use SSH):
Remark: You have to restart the Gesture Recognizer, so that it will re-read the newly trained gestures. Every time you train one or more gestures, restart the recognizer!
- Use the script you have created before; be sure to run the script from the Neo, no SSH or VNC:
Remark: If you don't start the Gesture Listener from the Neo, screen orientation won't work
How To Improve Recognition Accuracy
- Check to see which gesture gets recognized most often. Try training those gestures again.
- Determine which gestures don't get recognized at all. Try training those gestures again.
Alpha 2 Development Details
The configuration file for Neo is:
# Paul-Valentin Borza <email@example.com> # gestures configuration file for Neo/Wii # classes and probabilities for classifier # sclass\tFILE static acceleration class # dclass\tFILE dynamic acceleration class # sclassp\tVALUE probability for static acceleration class # dclassp\tVALUE probability for dynamic acceleration class sclass s.class dclass d.class sclassp 0.4 dclassp 0.6 # classes for recognizer (add more than one) # class\tid\tFILE static acceleration class class screen_zzp screen_zzp.class class screen_zzn screen_zzn.class class screen_zpz screen_zpz.class class screen_znz screen_znz.class class screen_pzz screen_pzz.class class screen_nzz screen_nzz.class class screen_npp screen_npp.class class screen_nnp screen_nnp.class class screen_pnp screen_pnp.class class screen_ppp screen_ppp.class # models for recognizer (add more than one) # model\tid\tFILE dynamic acceleration model model left left.model model left, and return left-and-right.model model right right.model model right, and return right-and-left.model model up up.model model up, and return up-and-down.model model down down.model model down, and return down-and-up.model model shake, shake shake-shake.model model horizontal circle horizontal-circle.model model forward, backward forward-backward.model model z z.model
- Paul-Valentin Borza <firstname.lastname@example.org>
- gestures configuration file for Neo/Wii
- classes and probabilities for classifier
- sclass\tFILE static acceleration class
- dclass\tFILE dynamic acceleration class
- sclassp\tVALUE probability for static acceleration class
- dclassp\tVALUE probability for dynamic acceleration class
sclass s.class dclass d.class sclassp 0.4 dclassp 0.6
- classes for recognizer (add more than one)
- class\tid\tFILE static acceleration class
class screen_zzp screen_zzp.class class screen_zzn screen_zzn.class class screen_zpz screen_zpz.class class screen_znz screen_znz.class class screen_pzz screen_pzz.class class screen_nzz screen_nzz.class class screen_npp screen_npp.class class screen_nnp screen_nnp.class class screen_pnp screen_pnp.class class screen_ppp screen_ppp.class
- models for recognizer (add more than one)
- model\tid\tFILE dynamic acceleration model
model left left.model model left, and return left-and-right.model model right right.model model right, and return right-and-left.model model up up.model model up, and return up-and-down.model model down down.model model down, and return down-and-up.model model shake, shake shake-shake.model model horizontal circle horizontal-circle.model model forward, backward forward-backward.model model z z.model
Gesture Recognizer that uses the top accelerometer (/dev/input/event2):
Gesture Listener that switches screen orientation, and notifies the user of recognized gestures on the screen:
Remark: Start the recognizer first, and after that the listener (obvious, but important)
- One, or both accelerometers might not work. Try:
hexdump /dev/input/event2 (for top accelerometer) hexdump /dev/input/event3 (for bottom accelerometer)
Remark: The Alpha 2 Release uses the TOP accelerometer
- After a while, the accelerometers might stop working.
Restart your Neo!
- After a while, the accelerometer send bogus values (values that are lower than what they should be). If this happens, the classifier won't be able to classify dynamic/static acceleration, and nothing will work - nor the gesture training, nor the gesture recognition.
Restart your Neo!
- Mute audio or suspend when screen is facing down; (NO SUPPORT FOR MUTE/UNMUTE AUDIO IN NEO FOR NOW)
- Go to main menu when shaken; (NO SUPPORT YET)
- Volume up/down during call when tilting left/right (still unclear); (NO SUPPORT YET)
- Turning the phone face to the user (not the same as taking it to the ear) to turn on the backlight (BACKLIGHT HAS A BUG, CAN'T BE USED YET)
- Automatic portrait/landscape switching for the UI (DONE)
- Turning the phone screen down to mute sound (and probably turn off the backlight) or hold call
- Swinging in an O-shape in the air to redial
- Moving the phone in a firm gesture from one ear to the other to switch between active and held calls
- Scrolling with firm tilts (suggested several times, should see if it's usable)
- Dropping (suggested several times, though it's unclear how to react to it)
- Shaking to get audio feedback (could e.g. imitate balls rolling inside to the number of unread messages, or liquid splashing to incdicate the battery level)
- Starting driving in a car (if that's detectable -- probably has other patterns than walking etc) to switch to some “car mode”
- Stopping e.g. at a traffic light to choose a better time to notify about new messages than while driving
- Taking off in a plane (should be detectable, but hard to train) to shut down all RF systems
- Similarly, landing to re-enable RF systems
Vigorous shaking (side to side) while receiving a call could reject it.
A sideways swing (90degres) out of the wrist could mean general Cancel/Esc/Back A long swing could close a app (more a arm swing than wrist. Same G-forces but longer time). These swing moves could be used on two axis and each in two axis for different usage. A firm wrist tilt backside down could mean global OK.
Maybe some basic moves like thsese should have absolute global meaning.
(like left, right, enter, esc)
Mute phone my hitting it on something hard three times with one side.
Face down lying still - lock screen Face up lying still - never lock screen
- holding the moko out & angling the front of it up repeatedly turns up volume
- angling front down repeatedly turns down volume
- a set of 5 or 10 standard, easily distinguishable gestures that the user can map to favorite programs