International Business Machines Corporation

Google Inc.

Lenovo (singapore) Pte. Ltd.

Jingtao Wang

Shumin Zhai

Chandrasekhar Narayanaswami

Jonathan Paul Munson

Danny Soroker

Hui Su

Daniel Mark Coffman

Donald T Tang

Qian Ying Wang

Per-Ola Kristensson

This document describes heart rate detection with multi-use capacitive touch sensors. Fluctuations in capacitance are detected () using capacitive touch sensors. These capacitive touch sensors are also used to detect touch inputs to control operations of a computing device. When contact of a person's hand with the computing device is detected, the capacitive touch sensors produce raw capacitance data that indicates detected capacitance fluctuations. The raw capacitance data is extracted () from the capacitive touch sensors using a modified device driver that bypasses default driver configurations that ignore fluctuations in capacitance due to heartbeats. Times during which the person's hand contacts the computing device and locations of the contact are determined () from the raw capacitance data indicative of the fluctuations. The extracted raw capacitance data is then processed to determine the person's heart rate ().

Heart rate detection with multi-use capacitive touch sensors

A tool for mapping an event includes a map generator for generating an event map, a view generator for generating a zoomable and pannable view of the event map, and a display device for displaying the zoomable and pannable view of the event map, and in another aspect, a tool for annotating an event map includes a map generator for generating an event map, an annotating unit for annotating the event map based on a user input, a view generator for generating a zoomable and pannable view of the annotated event map, and a display device for displaying the zoomable and pannable view of the annotated event map.

Tool and method for annotating an event map, and collaborating using the annotated event map

Tool and method for mapping and viewing an event

A word pattern recognition system based on a virtual keyboard layout combines handwriting recognition with a virtual, graphical, or on-screen keyboard to provide a text input method with relative ease of use. The system allows the user to input text quickly with little or no visual attention from the user. The system supports a very large vocabulary of gesture templates in a lexicon, including practically all words needed for a particular user. In addition, the system utilizes various techniques and methods to achieve reliable recognition of a very large gesture vocabulary. Further, the system provides feedback and display methods to help the user effectively use and learn shorthand gestures for words. Word patterns are recognized independent of gesture scale and location. The present system uses language rules to recognize and connect suffixes with a preceding word, allowing users to break complex words into easily remembered segments.

System and method for recognizing word patterns in a very large vocabulary based on a virtual keyboard layout

An input method, system and apparatus based on a network and an input system thereof, in which a user selects a desired language and desired input method(s) by downloading an applet from a server and sends the input characters to be recognized, and then the server sends the recognized results back to the user.

Input system and method in which candidate characters submitted by a user are recognized and recognized characters are returned to the user

A Chinese text entry system with eye-tracking technique can be used for computer input of Chinese characters. The system is comprised of two main components: the Chinese pinyin software and the eye-tracking system. Chinese characters corresponding to pinyin input are selected from a list of candidate characters by selecting the proper character through eye-tracking identification and confirming the selection by pressing a readily accessible confirmation key. The Chinese pinyin software implements pinyin input at both the character and word level, choosing from multiple character or word homonyms as pinyin is entered. The system uses eye-tracking technology that is only used to identify the correct Chinese character, with the character selection and entry occurring when the confirmation key is pressed.

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Albany, CA, United States of America

Jingtao Wang