Abstract: An apparatus, a method, and a computer program product for detecting a gesture of a body part relative to a surface are provided. The apparatus determines if the body part is in proximity of the surface. If the body part is in proximity of the surface, the apparatus determines if electrical activity sensed from the body part is indicative of contact between the body part and the surface. If the body part is in contact with the surface, the apparatus determines if motion activity sensed from the body part is indicative of the gesture.

Abstract: An apparatus, a method, and a computer program product for gesture recognition. The apparatus classifies a gesture based on a movement of a body part as detected by a primary sensor. The apparatus determine a reliability level of a secondary sensor and obtains corroborating information associated with the movement of the body part using the secondary sensor when the reliability level satisfies a criterion. The apparatus then confirms or negates the classification of the gesture based on the corroborating information. The secondary sensor may be a sensor already known to the apparatus, i.e., the sensor is currently being worn by the user, or it may be a sensor that is worn by a user at a later time. In the latter case, the apparatus detects for the presence of a new sensor, determines the gesture recognition capabilities of the new sensor and integrates the new sensor into the gesture recognition process.

Abstract: Various arrangements for recognizing a gesture are presented. User input may be received that causes a gesture classification context to be applied from a plurality of gesture classification contexts. This gesture classification context may be applied, such as to a gesture analysis engine. After applying the gesture classification context, data indicative of a gesture performed by a user may be received. The gesture may be identified in accordance with the applied gesture classification context.

Abstract: An apparatus, a method, and a computer program product for detecting a gesture of a body part relative to a surface are provided. The apparatus determines if the body part is in proximity of the surface. If the body part is in proximity of the surface, the apparatus determines if electrical activity sensed from the body part is indicative of contact between the body part and the surface. If the body part is in contact with the surface, the apparatus determines if motion activity sensed from the body part is indicative of the gesture.

Abstract: A system, a method, and a computer program product for managing information for an interface device are provided. The system detects for one of a present physical encounter between a user of the interface device and a person, and a non-physical encounter between the user and a person. The system determines if a detected present physical encounter is an initial encounter or a subsequent encounter, and adds content associated with the person to a database of previously encountered persons when the present physical encounter is an initial encounter. When the present physical encounter is a subsequent encounter or a present non-physical encounter is detected, the system determines if the person is known by the user, and presents information to the interface device corresponding to the person when the person is not known by the user.

Abstract: To determine if a set of items belongs to a class of interest, the set of items is binned into sub-populations based on a score, ranking, or trait associated with each item. The sub-populations may be created based on the score associated with each item, such as an equal score interval, or with the distribution of the items within the overall population, such as a proportion interval. A determination is made of how may samples are needed from each sub-population in order to make an estimation regarding the entire set of items. Then a calculation of the precision and variance for each sub-population is completed and are combined to provide an overall precision and variance value for the overall population.

Abstract: To determine if a set of items belongs to a class of interest, the set of items is binned into sub-populations based on a score, ranking, or trait associated with each item. The sub-populations may be created based on the score associated with each item, such as an equal score interval, or with the distribution of the items within the overall population, such as a proportion interval. A determination is made of how may samples are needed from each sub-population in order to make an estimation regarding the entire set of items. Then a calculation of the precision and variance for each sub-population is completed and are combined to provide an overall precision and variance value for the overall population.