Abstract: A method for automatically selecting and organizing a subset of photos from a set of photos provided by a user, who has an account on at least one social network providing some context, for creating a summarized photo album with a storytelling structure. The method comprises: arranging the set of photos into a three level hierarchy, acts, scenes and shots; checking whether photos are photos with people or not; obtaining an aesthetic measure of the photos; creating and ranking face clusters; selecting the most aesthetic photo of each face cluster; selecting photos with people until complete a predefined number of photos of the summarized album picking the ones which optimize the function: Of(C,C*,S,CSN)=?fAf(S)??fd(HCharacter(S)HCharacter(C?CSN)??fd(HAct(S),HAct(C*)); and then selecting non-people photos which minimize the following function Oa: Oa(C*,S)=d(HAct,(S),HAct(C*)); ordering all the selected photos in chronological order; and finally discarding all the photos which have not been selected.

Abstract: The present disclosure relates generally to methods for characterizing communication networks, and more particularly to methods of characterizing the propagation of information throughout communications in such networks.

Abstract: It comprises computing values of cognitive and personality indicators of users of a telecom operator by means of machine learning and data mining algorithms from information available in a telecom operator system extracted from Social Network Analysis metrics, Call Detailed Record information and commercial information of said users stored in an operator's Data Warehouse and Customer Relationship Management systems as well as information from previous surveys, or questionnaires, answered by a representative sample of users as an input of said machine learning and said data mining algorithms. The method involves building a complex computer model that infers the values of the psychological dimensions of said users by means of said machine learning and said data mining algorithms to obtain a multi-dimensional vector for each of the users.

Abstract: A method for automatically selecting and organizing a subset of photos from a set of photos provided by a user, who has an account on at least one social network providing some context, for creating a summarized photo album with a storytelling structure. The method comprises: arranging the set of photos into a three level hierarchy, acts, scenes and shots; checking whether photos are photos with people or not; obtaining an aesthetic measure of the photos; creating and ranking face clusters; selecting the most aesthetic photo of each face cluster; selecting photos with people until complete a predefined number of photos of the summarized album picking the ones which optimize the function: Of(C,C*,S,CSN)=?fAf(S)??fd(HCharacter(S)HCharacter(C?CSN)??fd(HAct(S), HAct(C*)); and then selecting non-people photos which minimize the following function Oa: Oa(C*,S)=d(HAct,(S),HAct(C*)); ordering all the selected photos in chronological order; and finally discarding all the photos which have not been selected.

Abstract: Method, system and computer program for real time synchronizing an audio file and a video file in a multimedia device. The present invention determines the optimum alignment path between the audio signal of the audio file and the audio track signal of the video file, starting from an initial path and performing a post-alignment processing to improve the user satisfaction when playing.

Abstract: The invention refers to a method for encouraging a user to comply with his/her medication regimen, comprising the steps of: registering a group of parameters related to a medication intake of said user, which parameters include a time parameter and a user identifier; sending said group of parameters related to a medication intake of the user to a server (40); computing a time difference between said time parameter received and a time parameter associated to said user identifier previously recorded in the server; assigning said user with a pre-established number of points depending on the value of said time difference; and providing said user with information regarding his/her points obtained for the medication intake, including a summary of their medication compliance status using appealing personal awareness. providing symbolic rewards (e.g.

Abstract: A glanceable interface presented by a computing device to a user while the user engages in physical exercise can provide information regarding exercise-related data within the context of the user's exercise-oriented goals. In particular, the glanceable interface can display the difference between a user's current exercise level and a target level, optionally with instructions how to reach the target level. Once the target level is reached, the glanceable display can provide raw exercise-related data to the user. In addition, virtual competition can be based on a target-achievement-score that is based on the amount of time, and the accuracy with which, a competitor maintains their exercise level within a target exercise level zone. Competitors can be automatically selected based on the closeness of their target-achievement-scores to the user's target-achievement-score, so long as at least one competitor has a higher target-achievement-score than the user so as to further motivate the user.

Abstract: A glanceable interface presented by a computing device to a user while the user engages in physical exercise can provide information regarding exercise-related data within the context of the user's exercise-oriented goals. In particular, the glanceable interface can display the difference between a user's current exercise level and a target level, optionally with instructions how to reach the target level. Once the target level is reached, the glanceable display can provide raw exercise-related data to the user. In addition, virtual competition can be based on a target-achievement-score that is based on the amount of time, and the accuracy with which, a competitor maintains their exercise level within a target exercise level zone. Competitors can be automatically selected based on the closeness of their target-achievement-scores to the user's target-achievement-score, so long as at least one competitor has a higher target-achievement-score than the user so as to further motivate the user.

Abstract: Aspects of the invention use music to influence a person's performance in a physical workout. A computing device receives and analyzes data indicating current physiology and movement of the user in order to provide a music piece that will influence the user to speed up, slow down, or maintain current pace so to achieve a desired exercise performance level. Information specific to the user may be considered in providing the music piece.

Abstract: Aspects of the invention use music to influence a person's performance in a physical workout. A computing device receives and analyzes data indicating current physiology and movement of the user in order to provide a music piece that will influence the user to speed up, slow down, or maintain current pace so to achieve a desired exercise performance level. Information specific to the user may be considered in providing the music piece.

Abstract: Aspects of the invention use music to influence a person's performance in a physical workout. A computing device receives and analyzes data indicating current physiology and movement of the user in order to provide a music piece that will influence the user to speed up, slow down, or maintain current pace so to achieve a desired exercise performance level. Information specific to the user may be considered in providing the music piece.

Abstract: An open architecture, wireless personal area network for receiving, storing, processing, displaying and communicating physiological data. The wireless personal area network may include a personal server, such as a cellular phone, and a plurality of sensors to monitor physiological signs, the user's motion, the user's orientation, and environmental factors. The sensors wirelessly provide data to the personal server, which may store, process, display, and communicate the data. An open architecture allows additional sensors to join the network without rendering the personal server irrelevant.

Abstract: The present invention relates to a system and methodology to facilitate machine learning and predictive capabilities in a processing environment. In one aspect of the present invention, a Mutual Information Model is provided to facilitate predictive state determinations in accordance with signal or data analysis, and to mitigate classification error. The model parameters are computed by maximizing a convex combination of the mutual information between hidden states and the observations and the joint likelihood of states and observations in training data. Once the model parameters have been learned, new data can be accurately classified.

Abstract: A location history is a collection of locations over time for an object. A stay is a single instance of an object spending some time in one place, and a destination is any place where one or more objects have experienced a stay. Location histories are parsed using stays and destinations. In a described implementation, each location of a location history is recorded as a spatial position and a corresponding time at which the spatial position is acquired. Stays are extracted from a location history by analyzing locations thereof with regard to a temporal threshold and a spatial threshold. Specifically, two or more locations are considered a stay if they exceed a minimum stay duration and are within a maximum roaming distance. Each stay includes a location, a starting time, and an ending time. Destinations are produced from the extracted stays using a clustering operation and a predetermined scaling factor.

Abstract: The present invention leverages analysis methods, such as expected value of information techniques, rate-based techniques, and random selection technique, to provide a fusion of low-level streams of input data (e.g., raw data) from multiple sources to facilitate in inferring human-centric notions of context while reducing computational resource burdens. In one instance of the present invention, the method utilizes real-time computations of expected value of information in a greedy, one-step look ahead approach to compute a next best set of observations to make at each step, producing “EVI based-perception.” By utilizing dynamically determined input data, the present invention provides utility-directed information gathering to enable a significant reduction in system resources. Thus, of the possible input combinations, the EVI-based system can automatically determine which sources are required for real-time computation relating to a particular context.