Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.

Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.

Abstract: A “Placement Detector” enables handheld or mobile electronic devices such as phones, media players, tablets, etc., to infer their current position or placement. Placement inference is performed by evaluating one or more sensors associated with the device relative to one or more trained probabilistic models to infer device relative to a user. Example placement inferences include, but are not limited to, inferring whether the device is currently in a user's pocket, in a user's purse (or other carrying bag or backpack), in a closed area such as a drawer or box, in an open area such as on a table, indoors, outdoors, etc. These types of placement inferences facilitate a wide range of automated user-device interactions, including, but not limited to, placement-dependent notifications, placement-dependent responses to various inputs, prevention of inadvertent “pocket dialing,” prevention of inadvertent power cycling of devices, lost or misplaced device location assistance, etc.

Abstract: A computer-implemented method for negotiating a time and a medium for communications between users is described. The method is performed at a server including one or more processors and memory storing one or more programs. The method includes receiving a request from a first user to negotiate a time and a medium for communication with a second user. The request includes a plurality of acceptable mediums of communication. The method also includes generating a first notification based on the request. The first notification includes the plurality of acceptable mediums of communication. The method furthermore includes transmitting the first notification to the second user, and receiving a response to the first notification from the second user. The response indicates whether the second user has accepted one of the acceptable mediums of communication.

Abstract: A “Placement Detector” enables handheld or mobile electronic devices such as phones, media players, tablets, etc., to infer their current position or placement. Placement inference is performed by evaluating one or more sensors associated with the device relative to one or more trained probabilistic models to infer device relative to a user. Example placement inferences include, but are not limited to, inferring whether the device is currently in a user's pocket, in a user's purse (or other carrying bag or backpack), in a closed area such as a drawer or box, in an open area such as on a table, indoors, outdoors, etc. These types of placement inferences facilitate a wide range of automated user-device interactions, including, but not limited to, placement-dependent notifications, placement-dependent responses to various inputs, prevention of inadvertent “pocket dialing,” prevention of inadvertent power cycling of devices, lost or misplaced device location assistance, etc.

Abstract: A computer-implemented method for negotiating a time and a medium for communications between users is described. The method is performed at a server including one or more processors and memory storing one or more programs. The method includes receiving a request from a first user to negotiate a time and a medium for communication with a second user. The request includes a plurality of acceptable mediums of communication. The method also includes generating a first notification based on the request. The first notification includes the plurality of acceptable mediums of communication. The method furthermore includes transmitting the first notification to the second user, and receiving a response to the first notification from the second user. The response indicates whether the second user has accepted one of the acceptable mediums of communication.