Abstract: A method for determining causal attention of a subject includes obtaining a first data stream indicative of one or both of i) eye movement and ii) gaze direction of the subject as the subject is viewing a scene in a field of view of the subject, obtaining a second data stream indicative of visual content in the field of view of the subject, detecting, based on the first data stream and the second data stream, an attention session of the subject, in response to detecting the attention session, determining, based on analysis of the visual content seen by the subject, a cause for behavior of the subject during the attention session, generating a causal attention output indicting the determined cause for the behavior of the subject, and causing the causal attention output to be provided to a user.

Abstract: A method for detecting an emotional state of a user includes obtaining a first data stream indicative of facial appearance and gaze direction of the user as the user is viewing a scene, determining, based on the first data stream, facial expression feature information indicative of emotional facial expression of the user, obtaining a second data stream indicative of visual content in a field of view of the user, determining, based on the second data stream, visual feature information indicative of visual content in the scene, determining emotional state information based on analyzing the facial expression feature information determined based on the first data stream and the visual feature information determined based on the second data stream, and performing an operation with respect to the emotional state information, wherein the emotional state information is indicative of the emotional state of the user.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Abstract: A method for detecting content of interest to a user includes obtaining a first data stream indicative of eye movement and/or gaze direction of the user as the user is viewing a scene in a field of view of the user, obtaining a second data stream indicative of visual content in the field of view of the user, determining, based on the first data stream and the second data stream, that content of interest to the user is present in the scene in the field of view of the user, and, in response to determining that content of interest to the user is present in the scene in the field of view of the user, triggering, with the processor, an operation to be performed with respect to the scene in the field of view of the user.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Abstract: Systems and methods for determining the impact of air resistance on the power being produced by a body motion are disclosed. In one aspect, a method includes measuring positions and orientations of a portion of the body in motion. The method further includes measuring pressure experienced by the portion of the body in motion. The motion further includes calculating a static pressure based on the measured pressures and correlated position and orientation measurements. The method further includes calculating a maximum pressure and calculating an air induced power exerted on the body in motion.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Abstract: A method for generating personalized responses in a conversation with a user includes generating real-time contexts capturing an environment of the user over time, including generating a particular real-time context based on a first data stream corresponding to a first modality in an environment of the user and a second data stream corresponding to a second modality in the environment of the user, generating historical contexts based on the real-time contexts, in response to receiving a conversational cue provided by the user, generating a current real-time context based on data corresponding to the first modality and the second modality in a current environment of the user, and generating, based on the current real-time context, a personalized response to the conversational cue, including identifying, based on the current real-time context, relevant user information, including identifying one or more relevant historical contexts, and generating the personalized response using the relevant user information.

Abstract: The present invention relates to the field of chip verification technology, and more particularly, to a method and system for emulating a chip design with heterogeneous hardware. It involves the interconnection of microprocessors and FPGAs, where the microprocessors have shorter object code compilation times than the FPGAs' bit files, and the FPGAs have higher emulation performance. The DUT is partitioned into n microprocessors and m FPGAs. The design module D, which requires debugging and correction, is assigned to the microprocessors. Then, the n microprocessors and the m FPGAs are controlled to perform emulation and debugging. Since the compilation time for a microprocessor hosting the design module D is shorter than when using FPGAS, and while ensuring that the mature design modules in the FPGAs have high emulation performance, the method successfully integrates the advantages of the iterative speed of microprocessors and the emulation performance of FPGAs.

Abstract: Systems and methods for determining the impact of air resistance on the power being produced by a body motion are disclosed. In one aspect, a method includes measuring positions and orientations of a portion of the body in motion. The method further includes measuring pressure experienced by the portion of the body in motion. The motion further includes calculating a static pressure based on the measured pressures and correlated position and orientation measurements. The method further includes calculating a maximum pressure and calculating an air induced power exerted on the body in motion.

Abstract: A method for detecting an emotional state of a user includes obtaining a first data stream indicative of facial appearance and gaze direction of the user as the user is viewing a scene, determining, based on the first data stream, facial expression feature information indicative of emotional facial expression of the user, obtaining a second data stream indicative of visual content in a field of view of the user, determining, based on the second data stream, visual feature information indicative of visual content in the scene, determining emotional state information based on analyzing the facial expression feature information determined based on the first data stream and the visual feature information determined based on the second data stream, and performing an operation with respect to the emotional state information, wherein the emotional state information is indicative of the emotional state of the user.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Abstract: A method for detecting content of interest to a user includes obtaining a first data stream indicative of eye movement and/or gaze direction of the user as the user is viewing a scene in a field of view of the user, obtaining a second data stream indicative of visual content in the field of view of the user, determining, based on the first data stream and the second data stream, that content of interest to the user is present in the scene in the field of view of the user, and, in response to determining that content of interest to the user is present in the scene in the field of view of the user, triggering, with the processor, an operation to be performed with respect to the scene in the field of view of the user.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

Abstract: Systems and methods for determining the impact of air resistance on the power being produced by a body motion are disclosed. In one aspect, a method includes measuring positions and orientations of a portion of the body in motion. The method further includes measuring pressure experienced by the portion of the body in motion. The motion further includes calculating a static pressure based on the measured pressures and correlated position and orientation measurements. The method further includes calculating a maximum pressure and calculating an air induced power exerted on the body in motion.

Abstract: Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user/wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.