International Business Machines Corporation

Nuance Communications, Inc.

Karl J Weinmeister

James Xenidis

Brian Lee White Eagle

Alyson T Cabral

Alexander J Buck

Yinle Zhou

Approaches presented herein enable performing a health analysis of a user using a smart floor mat. Specifically, a sensory array of the smart floor mat collects static and dynamic pressure data for capturing the movement and force exerted by a user's feet as the user walks across the smart floor mat. A healthcare analysis is then performed by comparing this current measurement data against the user's historical measurement data and expected results to generate a healthcare insight such as a trend, pattern, or deviation. The healthcare insight can predict or indicate a health issue. If a deviation exceeding a predefined permissible threshold exists, a healthcare professional can be notified.

Performing a health analysis using a smart floor mat

A method, system and computer program product for assisting a user to meet with other users with complementary attributes. Attributes (e.g., likes, dislikes) of a user, such as a user of a mobile device, are received to populate a profile of the user. The user attributes of profiles of actively participating users that are located in a geographic area are analyzed with respect to the attributes of the user to identify other users with complementary profiles. Those users with complementary profiles as the user are clustered to form a 'cluster' at a designated waypoint. Directions are then provided to the user to reach the designated waypoint to meet the other users of the same cluster. In this manner, the user is able to meet other users in the physical world with complementary interests and experiences at a designated waypoint.

Utilizing attributes of users to cluster users at a waypoint

A record is received including a token without a corresponding predetermined weight. Information pertaining to the received token is retrieved from at least one of external reference information and historic statistics. A token with a predetermined weight closest to the received token is determined based on the retrieved information. The predetermined weight of the closest token is assigned to the received token and data is matched based on the assigned weight of the received token.

Weight adjustment in a probabilistic matching system based on external demographic data

Provided is a system and method for creating program code via voice input. The method includes providing a client application configured to compare a voice input to a grammar specified in a document; mapping a plurality of commands specified in the grammar to programming language commands; and enhancing the mapped programming language commands to enable compiling. The enhancing can include creating programming code by inserting at least implicit parentheses, punctuation, and default variable values. The programming language commands can be associated with Java or another language. The document can be a VoiceXML file that can be altered to permit a number of different programming language. A voice programming system includes a receiver to receive voice commands; a voice programming processor configured to process the voice commands to create code; and an enhancement block configured to alter the code into compilable code. The enhancement block inserts implicit parentheses, punctuation and variables appropriate for a predetermined code.

Growing community of inventors

Austin, TX, United States of America

Karl J Weinmeister