Smartphone hardware is becoming more and more powerful, however, mobile apps are far from smart. Most mobile apps are just a straight port from PC or web apps. As a result, they are boring and hard to use. They are not taking advantage of the smartphone capabilities. People want mobile apps that actually understand the user, such as what the user likes or dislikes and when the user needs to do what. People want an app that can predict the user’s needs, and proactively searches for necessary info and generates reminders or suggestions proactively. Persistent Sensing is going to make all these possible. It passively monitors all the sensors on a phone, such as GPS, motion, wifi, compass sensors, etc, and automatically infers the user’s motion behavior, such as walking, driving, or stationary. It also automatically infers the user’s actions, such as having lunch at an Italian restaurant, playing golf, or working out in a gym.
This talk gives a quick overview on why Persistent Sensing is enabling a new class of intelligent and automatic mobile apps, as well as the challenges and potential solutions.
Before founding Alohar Mobile Inc., Sam Liang started and architected Google Location Server and led its development for three and half years. Sam also designed the location API that allows multiple platforms (such as Android, iPhone, Blackberry, etc.) to access the Google Location Server. These services are powering thousands of location-based mobile applications today, from both Google and third-party app developers. Sam also designed the early Google Latitude project.
Sam holds a number of patents in wireless and mobile technologies. Sam has a Ph.D in EE from Stanford University, specializing in network protocols and distributed systems.
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