Abstract: Techniques are described for user authentication based on a signal that is transmitted through an individual's body, and detected using device(s) in physical contact with the individual. A signal, such as an electrical signal or a vibrational signal, may be transmitted from a first device and received by a second device that is in physical contact with the individual. The received signal may be employed to determine a body signature for the individual. The body signature may identify the individual among a population of individuals, given the particular alterations to the propagating signal caused by the individual's physiology. Accordingly, the body signature may be employed as a form of biometric data that is useable to authenticate the individual to access a secure area, log in to a device or an application, or for other purposes.

Abstract: Techniques are described for user authentication based on a signal that is transmitted through an individual's body, and detected using device(s) in physical contact with the individual. A signal, such as an electrical signal or a vibrational signal, may be transmitted from a first device and received by a second device that is in physical contact with the individual. The received signal may be employed to determine a body signature for the individual. The body signature may identify the individual among a population of individuals, given the particular alterations to the propagating signal caused by the individual's physiology. Accordingly, the body signature may be employed as a form of biometric data that is useable to authenticate the individual to access a secure area, log in to a device or an application, or for other purposes.

Abstract: Techniques are described for user authentication based on a signal that is transmitted through an individual's body, and detected using device(s) in physical contact with the individual. A signal, such as an electrical signal or a vibrational signal, may be transmitted from a first device and received by a second device that is in physical contact with the individual. The received signal may be employed to determine a body signature for the individual. The body signature may identify the individual among a population of individuals, given the particular alterations to the propagating signal caused by the individual's physiology. Accordingly, the body signature may be employed as a form of biometric data that is useable to authenticate the individual to access a secure area, log in to a device or an application, or for other purposes.

Abstract: Techniques are described for data transformation performed based on a current emotional state of the user who provided input data, the emotional state determined based on biometric data for the user. Sensor(s) may generate biometric data that indicates physiological characteristic(s) of the user, and an emotional state of the user is determined based on the biometric data. Different dictionaries and/or dictionary entries may be used in translation, depending on the emotional state of the sender when the data was input. In some implementations, the emotional state of the sending user may be used to infer or otherwise determine that a translation was incorrect. The input data may be transformed to include information indicating the current emotional state of the sending user when they provided the input data. For example, the output text may be presented in a user interface with an icon and/or other indication of the sender's emotional state.

Abstract: Techniques are described for user authentication based on a signal that is transmitted through an individual's body, and detected using device(s) in physical contact with the individual. A signal, such as an electrical signal or a vibrational signal, may be transmitted from a first device and received by a second device that is in physical contact with the individual. The received signal may be employed to determine a body signature for the individual. The body signature may identify the individual among a population of individuals, given the particular alterations to the propagating signal caused by the individual's physiology. Accordingly, the body signature may be employed as a form of biometric data that is useable to authenticate the individual to access a secure area, log in to a device or an application, or for other purposes.

Abstract: Techniques are described for controlling access based on pattern repetition. A rhythmic pattern may be communicated to a portable computing device of an individual, and played on the device using haptic and/or audio output. In response to the played pattern, the individual may attempt to repeat the pattern by tapping on a touchpad or other haptic input on a computing device. The entered pattern may be compared to the original pattern and, if the patterns correspond, the individual may be provided with requested access to a secure area and/or secure data. In some implementations, the pattern repetition technique may be employed to unlock a secure device based on a rhythmic pattern received at a different device such as an epidermal patch or other wearable computer.

Abstract: Techniques are described for user authentication based on a signal that is transmitted through an individual's body, and detected using device(s) in physical contact with the individual. A signal, such as an electrical signal or a vibrational signal, may be transmitted from a first device and received by a second device that is in physical contact with the individual. The received signal may be employed to determine a body signature for the individual. The body signature may identify the individual among a population of individuals, given the particular alterations to the propagating signal caused by the individual's physiology. Accordingly, the body signature may be employed as a form of biometric data that is useable to authenticate the individual to access a secure area, log in to a device or an application, or for other purposes.

Abstract: Techniques are described for determining and/or verifying the location of a device based on environmental data. A device may provide location information describing its location, e.g., determined using a satellite-based navigation system. Environmental context data (e.g., temperature, air pressure, air quality, pollen count, ambient light, etc.) may also be received from the device, having been generated by sensor(s) incorporated into the device. The environmental context data may be compared to corresponding elements of other context data that is generated independently of the device. Based on the comparison, a confidence metric may be determined that indicates a level of confidence that the device's communicated location is its actual location. The confidence metric may be employed to make a security determination regarding a user of the device.

Abstract: Techniques are described for controlling access based on pattern repetition. A rhythmic pattern may be communicated to a portable computing device of an individual, and played on the device using haptic and/or audio output. In response to the played pattern, the individual may attempt to repeat the pattern by tapping on a touchpad or other haptic input on a computing device. The entered pattern may be compared to the original pattern and, if the patterns correspond, the individual may be provided with requested access to a secure area and/or secure data. In some implementations, the pattern repetition technique may be employed to unlock a secure device based on a rhythmic pattern received at a different device such as an epidermal patch or other wearable computer.

Abstract: Techniques are described for determining and/or verifying the location of a device based on environmental data. A device may provide location information describing its location, e.g., determined using a satellite-based navigation system. Environmental context data (e.g., temperature, air pressure, air quality, pollen count, ambient light, etc.) may also be received from the device, having been generated by sensor(s) incorporated into the device. The environmental context data may be compared to corresponding elements of other context data that is generated independently of the device. Based on the comparison, a confidence metric may be determined that indicates a level of confidence that the device's communicated location is its actual location. The confidence metric may be employed to make a security determination regarding a user of the device.