Abstract: Disclosed is a programmable streaming architecture designed for low-energy, human-centric vision applications (e.g., wearable lifelogging cameras). The disclosed device address the privacy concerns, battery life, and device size issues in existing devices. The disclosed device provides a low-power architecture for wearable cameras that allows for programmable early-discard of video frames at both frame and pixel levels. Obfuscation masks are generated on-the-fly from non-visual sensor data, enabling the device to process and store only relevant portions of video streams while discarding unnecessary data, thus enhancing privacy and extending battery life.

Abstract: A method includes receiving contextual data related to at least one of environmental, physiological, behavioral, and historical context, and receiving outcome data related to at least one outcome. The method further includes creating a feature set from the contextual data, selecting a subset of features from the feature set, assigning a score to each feature in the subset of features according to the probability that the feature is a predictor of the at least one outcome, and generating a characteristic curve for the at least one outcome from the subset of features, the characteristic curve being based on the scoring. The method further includes calculating the area under the characteristic curve, and using, the area under the characteristic curve, identifying whether the subset of features is a suitable predictor for the at least one outcome.

Abstract: An apparatus includes a sensor configured to detect a variable characteristic, the variation of the characteristic including variation indicative of an individual swallowing when the sensor is positioned in a neck area of the individual. The apparatus includes a wireless data communication interface configured to receive information related to the characteristic and transmit the information externally. The sensor may be, for example, an acoustic sensor, a piezoelectric sensor, a capacitive sensor, or a pressure sensor. The apparatus may include a sensor interface to sample a signal from the sensor and provide data related to the signal for transmission externally. A system may use the information related to the characteristic to identify eating habits and type of food eaten. Feedback may be provided to the individual to help the individual change their dietary intake and habits.

Abstract: A method includes receiving contextual data related to at least one of environmental, physiological, behavioral, and historical context, and receiving outcome data related to at least one outcome. The method further includes creating a feature set from the contextual data, selecting a subset of features from the feature set, assigning a score to each feature in the subset of features according to the probability that the feature is a predictor of the at least one outcome, and generating a characteristic curve for the at least one outcome from the subset of features, the characteristic curve being based on the scoring. The method further includes calculating the area under the characteristic curve, and using, the area under the characteristic curve, identifying whether the subset of features is a suitable predictor for the at least one outcome.