Abstract: Technologies for controlling degradation of a sensor mote including detecting a trigger event and initiating degradation of at least a portion of the sensor mote in response to the trigger event. The trigger event may be embodied as any type of event detectable by the sensor mote such as a trigger signal, particular sensed data, expiration of a reference time period, completion of a task, and so forth. The sensor mote may imitate the degradation by, for example, controlling a valve to release a chemical stored in the sensor mote or allow a substance into the sensor mote.

Abstract: Technologies for managing sensor conflicts in a compute system include determining an implication of stimuli sensed by two or more sensors of the compute system and determining whether a conflict exists between the determined implications. If a conflict does exist, an amount of discomfort is applied to the compute device. For example, a performance characteristic of the compute device may be adversely impacted based on the determined conflict. In some embodiments, the level of applied discomfort is based on a magnitude, importance, and/or duration of the implication conflict.

Abstract: Technologies for managing sensor malfunctions in a compute system include detecting a malfunctioning sensor of the compute system and determining a sensor function performed by the malfunctioning sensor. In response to detection of the malfunctioning sensor, a different sensor of the compute system is selected to perform the sensor function of the malfunctioning sensor. The selected sensor may be of a different sensor type relative to the sensor type of the malfunctioning sensor. The compute system subsequently performs the sensor function of the malfunctioning sensor using the selected sensor. To do so, the compute system may increase, modify, or adjust the manner in which the sensor data from the selected sensor is processed.

Abstract: Technologies for managing sensor anomalies in a compute system include determining whether sensor data received from a first sensor is anomalous based on sensor data from another sensor and a correlation rule. The correlation rule defines an excepted correlation between the first sensor data and the second sensor data. If the correlation between the first sensor data and the second sensor data is not observed, the first sensor data may be deemed anomalous. If so, the first sensor data may be verified using another sensor or other correlation. If the first sensor is determined to be malfunctioning, the compute system may mitigate the loss of the first sensor by using another sensor in its place.

Abstract: Embodiments of apparatus and methods for adaptively controlling air quality in a vehicle compartment are described. In embodiments, an apparatus may include a sensor interface configured to interface with one or more sensors, disposed at one or more locations at one or more sides or in an interior space of a vehicle compartment, and configured to measure one or more indicators of air quality at the one or more locations. The apparatus may further include one or more airflow controllers configured to adaptively control a plurality of ventilation components of the vehicle compartment to regulate airflow in the interior space, based at least in part on the measured indicators of air quality. Other embodiments may be described and/or claimed.

Abstract: Various systems and methods for improving map and navigation data are described herein. An electronic navigation system for improving map and navigation data comprises a database access module to access a database of physiological information to obtain a biometric value, the biometric value associated with a location and a time; a processing module to determine whether the biometric value violates a threshold; and a display module to display a notification on a map when the threshold is violated, the map including an area around the location associated with the biometric value, and the notification displayed proximate to the location associated with the biometric value.

Abstract: Technologies for determining a threat assessment based on fear responses comprises monitoring sensor data received from a sensor array located at a monitored site. The sensor data may include behavioral sensor data indicative of a physical behavior of individuals within the monitored site and physiological sensor data indicative of physiological characteristics of individuals within the monitored site. The threat assessment may be based on the behavioral sensor data and physiological sensor data. In some embodiments, context data related to the monitored site may be utilized analyze the behavioral sensor data and physiological sensor data and determine a threat assessment based thereon.

Abstract: Technologies for presenting an advertisement on a media consumption device includes receiving a request to seek past a commercial included in media content played on the media consumption device, determining an advertisement based on the commercial, and presenting the advertisement to a user of the media consumption device during performance of the requested seek function. The advertisement may be, for example, an extracted frame or image of the commercial and may include a logo or phrase associated with a product or service advertised in the commercial. Similar technologies related to a media content distribution system are also disclosed.

Abstract: The present application is directed to user authentication confidence based on multiple devices. A user may possess at least one device. The device may determine a device confidence level that the identity of the user is authentic based on at least data collected by a data collection module in the device. For example, a confidence module in the device may receive the data from the data collection module, determine a quality corresponding to the data and determine the device confidence level based on the quality. If the user possesses two or more devices, at least one of the devices may collect device confidence levels from other devices to determine a total confidence level. For example, a device may authenticate the other devices and then receive device confidence levels for use in determining the total confidence level, which may be used to set an operational mode in a device or system.

Abstract: Technologies for determining a threat assessment based on fear responses comprises monitoring sensor data received from a sensor array located at a monitored site. The sensor data may include behavioral sensor data indicative of a physical behavior of individuals within the monitored site and physiological sensor data indicative of physiological characteristics of individuals within the monitored site. The threat assessment may be based on the behavioral sensor data and physiological sensor data. In some embodiments, context data related to the monitored site may be utilized analyze the behavioral sensor data and physiological sensor data and determine a threat assessment based thereon.

Abstract: Techniques and architecture are disclosed for managing power use during operation of an electronic device capable of processing and/or playback of audio and/or video (AV) content. In some instances, the disclosed techniques/architecture can be used, for example: (1) to stop decoding and/or rendering of AV content upon detecting that a user wishes to stop or is otherwise unable to consume (e.g., hear/listen to or otherwise utilize) such AV content; and/or (2) to continue/re-enable decoding and/or rendering of AV content upon detecting that a user wishes or is otherwise able to continue/resume consumption thereof. In some cases, use of the disclosed techniques/architecture may reduce central processing unit (CPU) cycles, audio digital signal processing (DSP), rendering hardware usage, etc., and/or otherwise make more efficient use of battery charge, and thus may realize an improvement in battery life, for example, for a mobile/battery-operated device capable of AV processing and/or playback.

Abstract: Technologies for managing security threats on a computing system include detecting a security threat to the computing system, determining a plurality of mitigation scenarios to employ on the computing system to mitigate the security threat, and implementing the plurality of mitigation scenarios. Each mitigation scenario includes one or more threat mitigation actions to be taken by the computing system, one or more response systems of the computing system to perform the threat mitigation actions, and a temporal sequence in which the threat mitigation actions are to be taken. The results of each mitigation scenario is evaluated and a validated mitigation scenario is determined based on the results. A user of the computing device may be subsequently trained or habituated to mitigate the security threat by requesting interaction from the user during the implementation of the validated mitigation scenario in response to a threat scenario designed to replicate the security threat.

Abstract: Embodiments of apparatus and methods for capturing and generating user experiences are described. In embodiments, an apparatus may include a processor. The apparatus may also include a data storage module, coupled with the processor, to store sensor data collected by a plurality of sensors attached to one or more devices. The apparatus may further include an experience correlation module, coupled with the data storage module, to associate at least a portion of the sensor data with a user experience based at least in part on one or more rules identifying the user experience, to enable regenerating at least a part of the user experience for a user based at least in part on the portion of the sensor data. Other embodiments may be described and/or claimed.

Abstract: Technologies for bio-chemically controlling operation of a machine include applying a bio-chemical agent to an operator of the machine and controlling an operational characteristic of the machine based on the presence of the bio-chemical agent on the operator. The operational characteristic of the machine may be controlled based on the presence or lack of the biochemical agent on the operator. In some embodiments, the bio-chemical agent may be configured to generate a bio-chemical trigger in response to exposure to a biochemical or biological characteristic of the operator. The operation of the machine may be controlled based on such bio-chemical trigger or reaction.

Abstract: A mechanism is described for dynamically facilitating curator-controlled message delivery experiences at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a computing device at a location, and determining proximity of the computing device from one or more computing devices at or around the location, where the location may relate to an event. The method may further include creating a proximity map including plotting of the computing device and the one or more computing devices, and generating a message for the computing device based on one or more of the proximity map, and communicating the message to at least one of the computing device and the one or more computing devices for presentation.

Abstract: A method is described to facilitate behavioral nudging. The method includes receiving sensory data from one or more wearable devices, determining a context for a user wearing the one or more wearable devices based on the sensory data, determining a mechanism to nudge the user to reinforce user behavior based on stored preferences and policies and transmitting a nudging stimulus to at least one of the wearable devices via the determined mechanism to provide a notification to the user.

Abstract: Various systems and methods for implementing smart clothing are described herein. A wearable system for implementing smart clothing comprises a sensor module to receive sensor data from a sensor of the wearable system; a state module to use the sensor data to construct a comfort state of a user of the wearable system; a context module to determine a context of the comfort state; an access module to access a comfort model of the user, the comfort model reflecting target comfort states for associated contexts; and an actuation module to initiate actuators in the wearable system based on the comfort model, the comfort state, and the context of the comfort state.

Abstract: One or more sensors gather data, one or more processors analyze the data, and one or more indicators notify a user if the data represent an event that requires a response. One or more of the sensors and/or the indicators is a wearable device for wireless communication. Optionally, other components may be vehicle-mounted or deployed on-site. The components form an ad-hoc network enabling users to keep track of each other in challenging environments where traditional communication may be impossible, unreliable, or inadvisable. The sensors, processors, and indicators may be linked and activated manually or they may be linked and activated automatically when they come within a threshold proximity or when a user does a triggering action, such as exiting a vehicle. The processors distinguish extremely urgent events requiring an immediate response from less-urgent events that can wait longer for response, routing and timing the responses accordingly.

Abstract: Technologies for manufacturing an engineered biological system include determining a plurality of functions to be performed by the engineered biological system while in a corresponding state. The engineered biological system is to transition between states based on the presence of a corresponding transition trigger defined by a biological key associated with each state. A state machine mapping is generated for the manufacture of the engineered biological system. The engineered biological system is verified and subsequently activated in a host. An engineered biological system and associated method for performing a biological function are also disclosed.

Abstract: Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data. Other embodiments are described and claimed.