Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: A method of verifying a user for transportation purposes is disclosed. The method may include using a communication apparatus to detect a face of the user. The method may include using the communication apparatus to instruct the user to perform a specific action, to validate that the specific action is performed by the user, to extract a frame from the specific action to use as an image, to obtain image parameters from the frame and to use the communication apparatus to send the image to a server for the server to determine whether the image is a genuine face by comparing the image parameters of the image with parameters in a database to obtain a comparison result and to use the comparison result to determine if the user should be verified. FIG.

Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: This disclosure describes systems and techniques for implementing a touchscreen. These systems and/or techniques enable processing of a signal generated from one or more sensors of a touchscreen to reduce noise and increase accuracy.

Abstract: This disclosure describes systems and techniques for implementing a touchscreen. These systems and/or techniques enable processing of a signal generated from one or more sensors of a touchscreen to reduce noise and increase accuracy.

Abstract: The embodiments of the invention provide an adaptive method for base station cooperation in a wireless network. In a multi-user communications network that includes base stations, and in which each base station is associated with a cell, and in which each cell includes one or more mobile stations, each base station determines pre-coding matrices for full-cooperation, semi-cooperation and non-cooperation. Each base stations also determines a sum rate SRfull for full-cooperation, a sum rate SRsemi for semi-cooperation, and a sum rate SRnon for non-cooperation. Then, each base station selects the pre-coding for full-cooperation, the pre-coding matrices for semi cooperation, or the pre-coding matrices for non cooperation. Each base station transmits signals according to the selected pre-coding matrices.

Abstract: A method estimates channels in a wireless cooperative cellular network including a set of base stations, and each base station communicates cooperatively with a set of mobile stations. A first sounding signal including a first midamble is transmitted from a first base station to a first mobile station. A second sounding signal including a second midamble is transmitted simultaneously from a second base station to the first mobile station, wherein the first and second midamble are disjoint in time, and wherein the first and second midambles are used to estimate the channels between the first base station and the first mobile station, and the second base station and the first mobile station, respectively.

Abstract: The embodiments of the invention provide an adaptive method for base station cooperation in a wireless network. In a multi-user communications network that includes base stations, and in which each base station is associated with a cell, and in which each cell includes one or more mobile stations, each base station determines pre-coding matrices for full-cooperation, semi-cooperation and non-cooperation. Each base stations also determines a sum rate SRfull for full-cooperation, a sum rate SRsemi semi-cooperation, and a sum rate SRnon for non-cooperation. Then, each base station selects the pre-coding for full-cooperation, the pre-coding matrices for semi cooperation, or the pre-coding matrices for non cooperation. Each base station transmits signals according to the selected per-coding matrices.