Abstract: Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.

Abstract: Embodiments of the present invention are directed to a computer program product for generating a personality shift determination. The computer program product can include a computer readable storage medium having program instructions embodied therewith, wherein the instructions are executable by a processor to cause the processor to perform a method. The method can include receiving a real-time audio input. The method can also include generating a real-time personality trait identification. The method can also include generating a current trait classification for the real-time personality trait identification. The method can also include comparing the current trait classification to a historic rate classification. The method can also include generating a personality shift determination.

Abstract: Monitoring and analysis of a user's speech to detect symptoms of a mental health disorder by continuously monitoring a user's speech in real-time to generate audio data based, transcribing the audio data to text and analyzing the text of the audio data to determine a sentiment of the audio data is disclosed. A trained machine learning model may be applied to correlate the text and the determined sentiment to clinical information associated with symptoms of a mental health disorder to determine whether the symptoms are a symptom event. The initial determination may be transmitted to a second device to determine (and/or verify) whether or not the symptom event was falsely recognized.

Abstract: Embodiments of the present invention are directed to a computer program product for generating a personality shift determination. The computer program product can include a computer readable storage medium having program instructions embodied therewith, wherein the instructions are executable by a processor to cause the processor to perform a method. The method can include receiving a real-time audio input. The method can also include generating a real-time personality trait identification. The method can also include generating a current trait classification for the real-time personality trait identification. The method can also include comparing the current trait classification to a historic rate classification. The method can also include generating a personality shift determination.

Abstract: Monitoring and analysis of a user's speech to detect symptoms of a mental health disorder by continuously monitoring a user's speech in real-time to generate audio data based, transcribing the audio data to text and analyzing the text of the audio data to determine a sentiment of the audio data is disclosed. A trained machine learning model may be applied to correlate the text and the determined sentiment to clinical information associated with symptoms of a mental health disorder to determine whether the symptoms are a symptom event. The initial determination may be transmitted to a second device to determine (and/or verify) whether or not the symptom event was falsely recognized.

Abstract: Methods and systems for printing accurate three-dimensional structures include printing a three-dimensional structure according to an original three-dimensional model. The original three-dimensional model is adjusted to reduce measured differences between the printed three-dimensional structure and the original three-dimensional model. A three-dimensional structure is printed according to the adjusted three-dimensional model.

Abstract: A system for a touch screen interface that includes a coating including a plurality of a touch activated microchips; and a projector for projecting a light image onto the coating that is applied to a touch screen substrate. The system also includes an image calibrator that calibrates touch activated microchips in the coating to features of the light image projected onto the coating. The system further includes a receiver for receiving signal from the touch activated microchips when said feature of the light image is activated.

Abstract: A computer implemented method and system for identifying advertisements targeted to individuals based on analysis of audio recordings. The method includes recording audio input from at least one media transmission, analyzing the recorded media audio to identify content of the at least one media transmission, recording audio input from at least one individual, analyzing the recorded individual audio to classify the at least one individual into at least one segment, analyzing the recorded individual audio to identify at least one sentiment related to the identified media content, analyzing the at least one sentiment in context with the identified media content and identifying at least one advertisement targeted to the at least one segment based on the contextual analysis.

Abstract: A computer implemented method and system for identifying advertisements targeted to individuals based on analysis of audio recordings. The method includes recording audio input from at least one media transmission, analyzing the recorded media audio to identify content of the at least one media transmission, recording audio input from at least one individual, analyzing the recorded individual audio to classify the at least one individual into at least one segment, analyzing the recorded individual audio to identify at least one sentiment related to the identified media content, analyzing the at least one sentiment in context with the identified media content and identifying at least one advertisement targeted to the at least one segment based on the contextual analysis.

Abstract: Embodiments of the invention are directed to computer-implemented methods, computer systems, and computer program products for customizing a virtual reality avatar. The method includes receiving inputs from an electromyography sensor. The inputs from the electromyography sensor include inputs derived from the activity or inactivity of facial muscles. In some embodiments, the electromyography sensor is integrated into a head mounted display to be in contact with a user's facial muscles. The inputs from the electromyography sensor are translated into data that represents sensed facial expressions. The facial features of the user's virtual reality avatar are modified based at least in part on the data that represents sensed facial expressions.

Abstract: Techniques are provided for alerting drivers of hazardous driving conditions using the sensing capabilities of wearable mobile technology. In one aspect, a method for alerting drivers of hazardous driving conditions includes the steps of: collecting real-time data from a driver of a vehicle, wherein the data is collected via a mobile device worn by the driver; determining whether the real-time data indicates that a hazardous driving condition exists; providing feedback to the driver if the real-time data indicates that a hazardous driving condition exists, and continuing to collect data from the driver in real-time if the real-time data indicates that a hazardous driving condition does not exist. The real-time data may also be collected and used to learn characteristics of the driver. These characteristics can be compared with the data being collected to help determine, in real-time, whether the driving behavior is normal and whether a hazardous driving condition exists.

Abstract: Techniques are provided for alerting drivers of hazardous driving conditions using the sensing capabilities of wearable mobile technology. In one aspect, a method for alerting drivers of hazardous driving conditions includes the steps of: collecting real-time data from a driver of a vehicle, wherein the data is collected via a mobile device worn by the driver; determining whether the real-time data indicates that a hazardous driving condition exists; providing feedback to the driver if the real-time data indicates that a hazardous driving condition exists, and continuing to collect data from the driver in real-time if the real-time data indicates that a hazardous driving condition does not exist. The real-time data may also be collected and used to learn characteristics of the driver. These characteristics can be compared with the data being collected to help determine, in real-time, whether the driving behavior is normal and whether a hazardous driving condition exists.

Abstract: Techniques for modifying user behavior and screening for impairment using a mobile feedback controller, such as a smartwatch, are provided. In one aspect, a method for monitoring a user includes the steps of: collecting real-time data from the user, wherein the data is collected via a mobile feedback controller worn by the user; determining whether the data collected from the user indicates impairment; determining appropriate corrective actions to be taken if the data collected from the user indicates impairment, otherwise continuing to collect data from the user in real-time; determining whether any action is needed; and undertaking the appropriate corrective actions if action is needed, otherwise continuing to collect data from the user in real-time.

Abstract: A system and method perform remote physical training. The method includes receiving movements performed by an operator who is remotely located, and presenting the movements of the operator as movements performed by an avatar representing the operator in a virtual reality environment. The method also includes remotely monitoring the movements of the avatar, and providing real-time feedback on the movements to the operator.

Abstract: A method for fabricating fin field effect transistors comprises creating a pattern of self-aligned small cavities for P-type material growth using at least two hard mask layers, generating a pre-defined isolation area around each small cavity using a vertical spacer, selectively removing N-type material from the self-aligned small cavities, and growing P-type material in the small cavities. The P-type material may be silicon germanium (SiGe) and the N-type material may be tensile Silicon (t-Si). The pattern of self-aligned small cavities for P-type material growth is created by depositing two hard mask materials over a starting substrate wafer, selectively depositing photo resist over a plurality N-type areas, reactive ion etching to remove the second hard mask layer material over areas not covered by photo resist to create gaps in second hard mask layer, and removing the photo resist to expose the second hard mask material in the N-type areas.

Abstract: A method for forming a semiconductor device includes blocking a first region of a wafer and forming a plurality of fins in a second region of the wafer. A protective conformal mask layer is deposited over the plurality of fins in the second region, the second region is blocked, and a plurality of fins are formed in the first region of the wafer using a variety of wet and/or dry etching procedures. The protective conformal mask layer protects the plurality of fins in the second region from the variety of wet and/or dry etching procedures that are used to form the plurality of fins in the first region.

Abstract: A computer-implemented method includes tracking, using a computer processor, a position of a receiver in real space. A set of images is generated, using the computer processor, where the set of images represents a position of the receiver in virtual space, and where the position of the receiver in virtual space corresponds to the position of the receiver in real space. The set of images is transmitted, using a light fidelity (LiFi) communication system, to a display.

Abstract: Techniques are provided for alerting drivers of hazardous driving conditions using the sensing capabilities of wearable mobile technology. In one aspect, a method for alerting drivers of hazardous driving conditions includes the steps of: collecting real-time data from a driver of a vehicle, wherein the data is collected via a mobile device worn by the driver; determining whether the real-time data indicates that a hazardous driving condition exists; providing feedback to the driver if the real-time data indicates that a hazardous driving condition exists, and continuing to collect data from the driver in real-time if the real-time data indicates that a hazardous driving condition does not exist. The real-time data may also be collected and used to learn characteristics of the driver. These characteristics can be compared with the data being collected to help determine, in real-time, whether the driving behavior is normal and whether a hazardous driving condition exists.

Abstract: A system for monitoring participants in a group includes one or more thermal image capturing devices configured to capture one or more thermal images of a plurality of participants in an event, and a processing device configured to receive the one or more thermal images and identification data for at least one of the plurality of participants. The processing device is configured to perform a method that includes identifying the at least one of the plurality of participants, calculating a heat profile of the at least one of the plurality of participants, comparing the heat profile to a reference profile, and determining whether a deviation exists between the heat profile and the reference profile. The method also includes, based on detecting the deviation, calculating a magnitude of the deviation and determining whether a health risk exists based on the magnitude of the deviation.

Abstract: Techniques are provided for alerting drivers of hazardous driving conditions using the sensing capabilities of wearable mobile technology. In one aspect, a method for alerting drivers of hazardous driving conditions includes the steps of: collecting real-time data from a driver of a vehicle, wherein the data is collected via a mobile device worn by the driver; determining whether the real-time data indicates that a hazardous driving condition exists; providing feedback to the driver if the real-time data indicates that a hazardous driving condition exists, and continuing to collect data from the driver in real-time if the real-time data indicates that a hazardous driving condition does not exist. The real-time data may also be collected and used to learn characteristics of the driver. These characteristics can be compared with the data being collected to help determine, in real-time, whether the driving behavior is normal and whether a hazardous driving condition exists.