Brainoft Inc.

Hema Swetha Koppula

Ashutosh Saxena

Chenxia Wu

Ozan Sener

A first input is received from at least one of a plurality of sensors. Based on the first input, a first probability associated with a first state is determined. A second input is received from at least one of the plurality of sensors. Based on the second input, a second probability associated with a second state is determined. The second state is based on a transition model and the second probability. The transition model associates the first state with the second state and indicates a likelihood of a transition from the first state to the second state. A rule is triggered to change a state of at least one network connected device based on the second state.

Automatically learning and controlling connected devices

A first input is received from a plurality of sensors. A first state including a first location based on the first input is determined. The first state is associated with a first probability. A second input is received from the plurality of sensors. A second state including a second location is determined based on the second input associated with a second probability. It is determined that the second state corresponds to an actual state based on a transition model and the second probability. The transition model associates the first state with the second state and indicates a likelihood of a transition from the first state to the second state. A rule to change a state of at least one network connected device is triggered based on the second state.

Growing community of inventors

Mountain View, CA, United States of America

Hema Swetha Koppula