Abstract: In one embodiment, a method includes receiving sensor data from a number of sensors of the computing device. The sensor data corresponds to a particular state associated with the computing device. The method also includes determining a vector corresponding to the received sensor data; and comparing the vector with a pre-determined hyperplane. The hyperplane corresponds to a number of imminent uses of the computing device. The method also includes determining whether the particular state associated with the computing device corresponds to a particular one of the imminent uses of the computing device based on the comparison of the vector with the pre-determined hyperplane.

Abstract: In one embodiment, a method includes receiving sensor data from a number of sensors of the computing device. The sensor data corresponds to a particular state associated with the computing device. The method also includes determining a vector corresponding to the received sensor data; and comparing the vector with a pre-determined hyperplane. The hyperplane corresponds to a number of imminent uses of the computing device. The method also includes determining whether the particular state associated with the computing device corresponds to a particular one of the imminent uses of the computing device based on the comparison of the vector with the pre-determined hyperplane.

Abstract: Examples are disclosed for transmitting a command to control a peripheral device through an audio port. In some examples, the peripheral device may be coupled to a computing device via an interconnect. The interconnect may have an audio jack to couple with the computing device through an audio port and a connector to couple with a serial interface at the peripheral device. For these examples, elements of the computing device may receive a command to control the peripheral device and may generate analog signals including the command and a clock signal. The analog signals may then be transmitted through the audio port. The interconnect may be capable of converting the analog signals to a digital signal that includes the command and clock signal then provide the digital signal to the serial interface at the peripheral device. Other examples are described and claimed.

Abstract: In one embodiment, a method includes receiving sensor data from a number of sensors of the computing device. The sensor data corresponds to a particular state associated with the computing device. The method also includes determining a vector corresponding to the received sensor data; and comparing the vector with a pre-determined hyperplane. The hyperplane corresponds to a number of imminent uses of the computing device. The method also includes determining whether the particular state associated with the computing device corresponds to a particular one of the imminent uses of the computing device based on the comparison of the vector with the pre-determined hyperplane.

Abstract: In one embodiment, a method includes receiving real-time sensor data from N sensors on the computing device. The real-time sensor data corresponds to a transition in a physical state of the computing device caused by a user of the computing device. The method also includes applying a linear function to the real-time sensor data from each of the N sensors; determining a vector based on an N-tuple comprising the derivatives; comparing the vector with a pre-determined hyperplane with N?1 dimensions; and determining based on the comparison whether the transition is an event corresponding to any of one or more pre-determined imminent uses of the computing device by the user or a non-event not corresponding to any of the pre-determined imminent uses of the computing device by the user.

Abstract: In one embodiment, a method includes receiving real-time sensor data from a number of sensors of different sensor types on a computing device. The real-time sensor data corresponds to a transition in a physical state of the computing device caused by a user of the computing device. The method also includes correlating the real-time sensor data from the number of sensors of different sensor types on the computing device; determining based on the correlation an intended imminent use of the computing device by the user; and automatically initiating based on the determination a pre-determined function of the computing device.

Abstract: In one embodiment, a method includes receiving real-time sensor data from multiple sensors located on multiple surfaces of a computing device; detecting a transition in the real-time sensor data from a steady state; and determining based on the detection an imminent use of the computing device.

Abstract: Examples are disclosed for transmitting a command to control a peripheral device through an audio port. In some examples, the peripheral device may be coupled to a computing device via an interconnect. The interconnect may have an audio jack to couple with the computing device through an audio port and a connector to couple with a serial interface at the peripheral device. For these examples, elements of the computing device may receive a command to control the peripheral device and may generate analog signals including the command and a clock signal. The analog signals may then be transmitted through the audio port. The interconnect may be capable of converting the analog signals to a digital signal that includes the command and clock signal then provide the digital signal to the serial interface at the peripheral device. Other examples are described and claimed.

Abstract: In one embodiment, a method includes receiving real-time sensor data from N sensors on the computing device. The real-time sensor data corresponds to a transition in a physical state of the computing device caused by a user of the computing device. The method also includes applying a linear function to the real-time sensor data from each of the N sensors; determining a vector based on an N-tuple comprising the derivatives; comparing the vector with a pre-determined hyperplane with N?1 dimensions; and determining based on the comparison whether the transition is an event corresponding to any of one or more pre-determined imminent uses of the computing device by the user or a non-event not corresponding to any of the pre-determined imminent uses of the computing device by the user.

Abstract: In one embodiment, a method includes receiving real-time sensor data from multiple sensors located on multiple surfaces of a computing device; detecting a transition in the real-time sensor data from a steady state; and determining based on the detection an imminent use of the computing device.

Abstract: In one embodiment, a method includes receiving real-time sensor data from a number of sensors of different sensor types on a computing device. The real-time sensor data corresponds to a transition in a physical state of the computing device caused by a user of the computing device. The method also includes correlating the real-time sensor data from the number of sensors of different sensor types on the computing device; determining based on the correlation an intended imminent use of the computing device by the user; and automatically initiating based on the determination a pre-determined function of the computing device.