Abstract: Disclosed herein is an example communication apparatus that includes processor circuitry to execute instructions to: determine a context of a message; perform a comparison of the context of the message with a target recipient emotional state; apply a rule to select an action for the message based on the comparison; cause performance of the action; determine an effect of the action on an emotional state of a user; and update the rule based on the effect.

Abstract: Wafer level electron beam prober systems, devices, and techniques, are described herein related to providing wafer level testing for fabricated device structures. Such wafer level testing contacts a first side of a die of a wafer with a probe to provide test signals to the die under test and performs e-beam imaging of the first side of the die while the test signals are provided to the die under test.

Abstract: Disclosed herein is an example communication apparatus that includes processor circuitry to execute instructions to: determine a context of a message; perform a comparison of the context of the message with a target recipient emotional state; apply a rule to select an action for the message based on the comparison; cause performance of the action; determine an effect of the action on an emotional state of a user; and update the rule based on the effect.

Abstract: One embodiment provides an apparatus. The apparatus includes a user profile; and a content filter logic. The content filter logic is to determine whether a content of a received message directed to a target recipient is compatible with the user profile and a current emotional state of the target recipient and to select at least one action based, at least in part, on one or more of the content, the user profile and/or the current emotional state of the target recipient. The at least one action is selected from the group comprising place the received message on hold, provide the received message to the target recipient, modify the received message, delete the received message, store the received message to an original message log, provide an alert to the target recipient, forward the message to another recipient and/or ascertain, from a sender, an urgency of the received message.

Abstract: An example wearable device includes a haptic actuator to produce a haptic vibration in response to a target input waveform, a haptic effect sensor to measure a haptic vibration corresponding to the haptic vibration and to output a measured haptic vibration waveform and a feedback circuit to modify the target input waveform to reduce a difference between the haptic vibration and a measured haptic vibration waveform.

Abstract: Technologies for detecting minority events are disclosed. By performing a guided hierarchical classification algorithm with a decision tree structure and grouping the minority class(es) in with some of the majority classes, large majority classes may be separated from a minority class without requiring good detection of the minority events by themselves. The decision tree structure may be used only for the purpose of identifying if the data sample in question is a member of a minority class. If it is determined that it is not, a primary classification algorithm may be used. With this approach, the guided hierarchical classification algorithm need not perform as well as the primary classification algorithm for the majority events, but may provide improved detection for minority events.

Abstract: One embodiment provides an apparatus. The apparatus includes a user profile; and a content filter logic. The content filter logic is to determine whether a content of a received message directed to a target recipient is compatible with the user profile and a current emotional state of the target recipient and to select at least one action based, at least in part, on one or more of the content, the user profile and/or the current emotional state of the target recipient. The at least one action is selected from the group comprising place the received message on hold, provide the received message to the target recipient, modify the received message, delete the received message, store the received message to an original message log, provide an alert to the target recipient, forward the message to another recipient and/or ascertain, from a sender, an urgency of the received message.

Abstract: In one embodiment, an apparatus includes: a bioimpedance sensor to generate bioimpedance information based on bioimpedance sample information from at least some of a plurality of electrodes to be adapted about a portion of a person; at least one biometric sensor to generate biometric information based on biometric sample information from at least some of the plurality of electrodes; at least one environmental sensor to generate environmental context data; and an integration circuit to receive the bioimpedance information, the biometric information and the environmental context data and to adjust the bioimpedance information based at least in part on a value of one or more of the biometric information and the environmental context data. Other embodiments are described and claimed.

Abstract: An example wearable device includes a haptic actuator to produce a haptic vibration in response to a target input waveform, a haptic effect sensor to measure a haptic vibration corresponding to the haptic vibration and to output a measured haptic vibration waveform and a feedback circuit to modify the target input waveform to reduce a difference between the haptic vibration and a measured haptic vibration waveform.

Abstract: One embodiment provides an apparatus. The apparatus includes a user profile; and a content filter logic. The content filter logic is to determine whether a content of a received message directed to a target recipient is compatible with the user profile and a current emotional state of the target recipient and to select at least one action based, at least in part, on one or more of the content, the user profile and/or the current emotional state of the target recipient. The at least one action is selected from the group comprising place the received message on hold, provide the received message to the target recipient, modify the received message, delete the received message, store the received message to an original message log, provide an alert to the target recipient, forward the message to another recipient and/or ascertain, from a sender, an urgency of the received message.

Abstract: An example wearable device includes a haptic actuator to produce an output haptic vibration in response to a target input signal waveform, a haptic effect sensor located in proximity to the haptic actuator to measure a haptic vibration corresponding to the output haptic vibration and to output a measured haptic vibration waveform and a feedback circuit to modify the target input signal waveform to reduce a difference between the output haptic vibration and a measured haptic vibration waveform.

Abstract: An example wearable device includes a haptic actuator to produce an output haptic vibration in response to a target input signal waveform, a haptic effect sensor located in proximity to the haptic actuator to measure a haptic vibration corresponding to the output haptic vibration and to output a measured haptic vibration waveform and a feedback circuit to modify the target input signal waveform to reduce a difference between the output haptic vibration and a measured haptic vibration waveform.

Abstract: An example wearable device includes a haptic actuator to produce an output haptic vibration in response to a target input signal waveform, a haptic effect sensor located in proximity to the haptic actuator to measure a haptic vibration corresponding to the output haptic vibration and to output a measured haptic vibration waveform and a feedback circuit to modify the target input signal waveform to reduce a difference between the output haptic vibration and a measured haptic vibration waveform.

Abstract: One embodiment provides an apparatus. The apparatus includes a user profile; and a content filter logic. The content filter logic is to determine whether a content of a received message directed to a target recipient is compatible with the user profile and a current emotional state of the target recipient and to select at least one action based, at least in part, on one or more of the content, the user profile and/or the current emotional state of the target recipient. The at least one action is selected from the group comprising place the received message on hold, provide the received message to the target recipient, modify the received message, delete the received message, store the received message to an original message log, provide an alert to the target recipient, forward the message to another recipient and/or ascertain, from a sender, an urgency of the received message.

Abstract: One embodiment provides an apparatus. The apparatus includes a group response logic. The group response logic is to determine a respective user emotional response to a relevant content provided to each user of a plurality of users. The respective emotional response is determined based, at least in part, on a respective user objective data captured for each user in response to exposure of each user to the relevant provided content. The relevant content is provided to at least some of the plurality of users across at least one of a plurality of points in time and/or a plurality of locations. The group response logic is further to aggregate a plurality of respective user emotional responses to yield a first aggregated emotional response.

Abstract: In one embodiment, an apparatus includes: a bioimpedance sensor to generate bioimpedance information based on bioimpedance sample information from at least some of a plurality of electrodes to be adapted about a portion of a person; at least one biometric sensor to generate biometric information based on biometric sample information from at least some of the plurality of electrodes; at least one environmental sensor to generate environmental context data; and an integration circuit to receive the bioimpedance information, the biometric information and the environmental context data and to adjust the bioimpedance information based at least in part on a value of one or more of the biometric information and the environmental context data. Other embodiments are described and claimed.

Abstract: An example wearable device includes a haptic actuator to produce an output haptic vibration in response to a target input signal waveform, a haptic effect sensor located in proximity to the haptic actuator to measure a haptic vibration corresponding to the output haptic vibration and to output a measured haptic vibration waveform and a feedback circuit to modify the target input signal waveform to reduce a difference between the output haptic vibration and a measured haptic vibration waveform.

Abstract: Technologies for generating a text message from user-selectable icons include a wearable computing device that determines a context associated with the wearable computing device. The wearable computing device determines user-selectable icons from predetermined user-selectable icons based on the context associated with the wearable computing device. Each of the user-selectable icons may have one or more textual meanings associated therewith for text message generation. The determined user-selectable icons may be displayed on a display of the wearable computing device.

Abstract: A wearable device (“WD”) stores a token after its wearer completes a successful strong authentication on a primary protected device (“primary PD”). Other protected devices (“secondary PDs”) recognize the stored token as representing a strong authentication and grant the user access while the user continues to wear the WD within a “digital leash-length” proximity. The WD constantly monitors whether the user continues to wear the device. Upon sensing that the user has removed the WD, the WD deletes, disables, or invalidates the token, The user must then repeat the strong authentication to gain further access to the protected devices.

Abstract: Technologies for detecting minority events are disclosed. By performing a guided hierarchical classification algorithm with a decision tree structure and grouping the minority class(es) in with some of the majority classes, large majority classes may be separated from a minority class without requiring good detection of the minority events by themselves. The decision tree structure may be used only for the purpose of identifying if the data sample in question is a member of a minority class. If it is determined that it is not, a primary classification algorithm may be used. With this approach, the guided hierarchical classification algorithm need not perform as well as the primary classification algorithm for the majority events, but may provide improved detection for minority events.