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PROJECT
SOLI
BHAVIN B
S5 MCA-B
KVM CE & IT
ABSTRACT
• Project Soli is a new technology that uses
radar to enable new types of touch less
interactions.
• The movements of gestures from a
human can be captured using a radar
sensor, and by detection of theses
gestures, some special task on a device
can be done.
INTRODUCTION
• Project soli of Google ATAP(Advanced
technology and project group)
• Our hands and fingers are the best way we
have to interact with smart devices.
• One of the reasons is also the decreasing size
of the screens.
Project soli chip
• Can easily be used in even the smallest
wearable’s that fits with in a tiny chip.
• It is capable of accurately detecting your hand
movement in real-time.
• Its like motion and other gesture-tracking
controllers.
• The soli is small in size of a 5×5 mm.
• It has a sensor which capture sub millimeters
of motions of fingers in 3D space.
• It capture motions of fingers at a phenomenal
rate of 10,000 frames per second
What a radar is …?
• Radar is an object-detection system that uses
radio waves to determine the range, angle, or
velocity of objects.
• It is used by Army and Defense agencies to
track movements of enemy.
• Sends radio waves towards the target and its
receiver intercepts the motion.
Simulation of wave recognition
Types of Radars
• Google developed two modulation
architectures:
a) Frequency Modulated Continuous
Wave(FMCW) radar.
b) Direct Sequence Spread
Spectrum(DSSS) radar.
• Both chips integrate the entire radar system
into the package ,that enable gesture
recognition
Features of Radar
 Insensitive to the light
 Can transmit over plastic materials like
polycarbonate
 3D gesture recognition possible
 Recognition of overlapping fingers
Working
• Soli sensor technology works by emitting
electromagnetic waves in a broad beam.
• object with in the beam scatter this energy,
reflecting some portion back towards the radar.
• Properties of the reflected signal, such as
energy, time delay and frequency shift capture
rich information about the objects.
• Such as its characteristics and shape , size ,
material , distance and velocity.etc.
• It then uses machines-learning to translate
these movement to pre-programmed
commands.
• Doppler effect to detect speed
• Virtual tools are used as a key to identify
gestures.
What is machine learning..?
• Machine learning is subfield of computer
science that evolved from the study of pattern
recognition and computational learning theory
in artificial intelligence
What is Doppler effect?
• It is named after the Austrian physicist Christian
Doppler, who proposed it in 1842 in Prague.
• The Doppler effect is the change in frequency of
a wave (or other periodic event) for an
observer moving relative to its source.
Virtual Tools
• The concept of virtual tool is key to soli
interactions
• Virtual tools are gestures that familiar
interactions with physical tools.
• This make it easy to communicate, learn and
remember soli interactions.
Virtual tool Gestures
Eg.(1)
Imagine an invisible button between your thumb and
index finger- you can press it by tapping your finger
together
Using Google-Map by Gestures
Eg.(2)
If you turn by rubbing thumb against index
finger
Controlling device functionalities using
Gestures
APPLICATIONS
• In medical field.
• For playing games
• Smartphones can be controlled by using
Gestures.
• In smart watches.
• Gadgets
ADVANTAGES
• Replace all kinds of buttons and switches and
make the devices operable remotely
• Most of the existing motion sensor technique
uses camera based motion sensing
• Allows to control Gadgets with gestures.
• Allows free hand typing.
• Good Accuracy over control .
• Need not to carry gadgets while using them.
DISADVANTAGES
• It has a limited radar range.
• Multiple gestures could not be possible at a
time.
• Highly Expensive.
• Security Threat.
CONCLUSION
• One of the big problems with wearable devices
right now is inputs, there's no simple way to
control these devices.
• Therefore gestures will be used by individuals
to carry out certain functions with electronic
machines such as Smartphone's and desktops.
THANK YOU

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Project soli

  • 2. ABSTRACT • Project Soli is a new technology that uses radar to enable new types of touch less interactions. • The movements of gestures from a human can be captured using a radar sensor, and by detection of theses gestures, some special task on a device can be done.
  • 3. INTRODUCTION • Project soli of Google ATAP(Advanced technology and project group) • Our hands and fingers are the best way we have to interact with smart devices. • One of the reasons is also the decreasing size of the screens.
  • 5. • Can easily be used in even the smallest wearable’s that fits with in a tiny chip. • It is capable of accurately detecting your hand movement in real-time. • Its like motion and other gesture-tracking controllers.
  • 6. • The soli is small in size of a 5×5 mm. • It has a sensor which capture sub millimeters of motions of fingers in 3D space. • It capture motions of fingers at a phenomenal rate of 10,000 frames per second
  • 7. What a radar is …? • Radar is an object-detection system that uses radio waves to determine the range, angle, or velocity of objects. • It is used by Army and Defense agencies to track movements of enemy. • Sends radio waves towards the target and its receiver intercepts the motion.
  • 8. Simulation of wave recognition
  • 9. Types of Radars • Google developed two modulation architectures: a) Frequency Modulated Continuous Wave(FMCW) radar. b) Direct Sequence Spread Spectrum(DSSS) radar. • Both chips integrate the entire radar system into the package ,that enable gesture recognition
  • 10. Features of Radar  Insensitive to the light  Can transmit over plastic materials like polycarbonate  3D gesture recognition possible  Recognition of overlapping fingers
  • 11. Working • Soli sensor technology works by emitting electromagnetic waves in a broad beam. • object with in the beam scatter this energy, reflecting some portion back towards the radar. • Properties of the reflected signal, such as energy, time delay and frequency shift capture rich information about the objects.
  • 12. • Such as its characteristics and shape , size , material , distance and velocity.etc. • It then uses machines-learning to translate these movement to pre-programmed commands. • Doppler effect to detect speed • Virtual tools are used as a key to identify gestures.
  • 13. What is machine learning..? • Machine learning is subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence
  • 14. What is Doppler effect? • It is named after the Austrian physicist Christian Doppler, who proposed it in 1842 in Prague. • The Doppler effect is the change in frequency of a wave (or other periodic event) for an observer moving relative to its source.
  • 15. Virtual Tools • The concept of virtual tool is key to soli interactions • Virtual tools are gestures that familiar interactions with physical tools. • This make it easy to communicate, learn and remember soli interactions.
  • 16. Virtual tool Gestures Eg.(1) Imagine an invisible button between your thumb and index finger- you can press it by tapping your finger together
  • 17. Using Google-Map by Gestures Eg.(2) If you turn by rubbing thumb against index finger
  • 21. • Smartphones can be controlled by using Gestures.
  • 22. • In smart watches.
  • 24. ADVANTAGES • Replace all kinds of buttons and switches and make the devices operable remotely • Most of the existing motion sensor technique uses camera based motion sensing • Allows to control Gadgets with gestures. • Allows free hand typing. • Good Accuracy over control . • Need not to carry gadgets while using them.
  • 25. DISADVANTAGES • It has a limited radar range. • Multiple gestures could not be possible at a time. • Highly Expensive. • Security Threat.
  • 26. CONCLUSION • One of the big problems with wearable devices right now is inputs, there's no simple way to control these devices. • Therefore gestures will be used by individuals to carry out certain functions with electronic machines such as Smartphone's and desktops.