gmic 2012 - alohar, presentation by mr sam liang

Post on 13-Jan-2015

1.121 Views

Category:

Technology

0 Downloads

Preview:

Click to see full reader

DESCRIPTION

 

TRANSCRIPT

Mobile Behavior Analytics using

Persistent Ambient Sensing

Sam Liang, Ph.D, CEO

Alohar Mobile Inc. Confidential

Apps Ported from PC/Web

•Email•Browser•Games•Music•Video

We are using cell phone as a miniature PC

Limitations of Current Mobile Apps

• Manual appso No automatic proactive intelligenceo Can't help user without user's manual queryo Manual Check-in fatigue

• No Understanding of User Behavior• Poor identification of Place names

o GPS is fuzzy, always driftingo Foursquare, Facebook use scrolling pick lists

• No insight into user preferenceso Check-in data is not comprehensive

• Poor Battery Management

Alohar Mobile Inc. Confidential

•Eyes •Ears•Touch•Talk

•Location, Altitude•Motion•Wifi•Bluetooth•Proximity•Temperature•...

Phone has More Senses Than Human

Alohar Platform CreatesPersistent Ambient Sensing

Alohar Mobile Inc. Confidential

• Location • Time • Motion• Context• User Patterns

Some Use Cases with Alohar Platform

•Automatically checks traffic before you drive to a meeting

•Reminds you to exercise if coding for 5 hours•Automatically detects a car crash and calls

911 even if the driver is unconscious•Tells you about a cheap gas station when it

detects you have just 1/2 gallon of gas left•Helps Alzheimer patients•Enterprise traveling salesmen/servicemen

management•Highly targeted mobile ads/coupons

Help Me Before I Ask!Alohar Mobile Inc. Confidential

Alohar Enables SMARTER Mobile Apps

•It can hear you•It can feel you•It can understand you•It can HELP you before

you ask

A Predictive Siri

Check-In

Alohar's Innovations

• Persistent Ambient Serviceo Always-on service 24x7 (with optional config)o Power Efficient Ambient Sensing 

• Automatic Business Determinationo Patent pending on POI disambiguation

• Intelligent User behavior Learningo Real-time user behavior analysis:

E.g shopping in Macy's now; having lunch in Olive Gardeno  Historical user behavior analysis:

E.g Usually goes to school in the morning

• Automatic user profile generationo Based on visit-signature and other activities

Alohar Mobile Inc. Confidential

Alohar PlatformMobile Behavior Analytics

Smarter Apps with Persistent Ambient

Sensing

Alohar Mobile Inc. Confidential

Build Apps Smarter than Siriwith

Mobile Behavior Analytics

Sam Liang, Ph.D, CEO

Alohar Mobile Inc. Confidential

top related