Andrew M Slonneger

US Patent:

56895267, Nov 18, 1997

Filed:

Feb 26, 1996

Appl. No.:

8/606906

Inventors:

Andrew M. Slonneger - Boynton Beach FL
Marco A. Mayor - Boca Raton FL
Carl Myron Willis - Mesa AZ

Assignee:

Motorola, Inc. - Schaumburg IL

International Classification:

H04B 1707

US Classification:

375206

Abstract:

A method and apparatus at a transmitter (800) initializes (904) pseudonoise (PN) sequence generators (302, 306, 320) to predetermined initial states and thereafter generates (906) time-synchronized PN sequences. A spread spectrum signal is then transmitted (908) by utilizing the PN sequences to encode information. At a receiver (600, 700) a predetermined one of the PN sequences is acquired and tracked (1002), and one of the predetermined initial states is predicted and tracked (1004). A PN sequence generator (608, 714, 722, 730) of the receiver is adjusted (1006, 1014) to generate a selected PN sequence time-synchronized with the predetermined one, and a corresponding one of the PN sequences is despread (1008) by utilizing the selected PN sequence to decode the information.

US Patent:

20150355718, Dec 10, 2015

Filed:

Aug 7, 2014

Appl. No.:

14/454069

Inventors:

- Chicago IL, US
Andrew M. Slonneger - Crystal Lake IL, US

International Classification:

G06F 3/01
G06N 7/02
A61B 5/00

Abstract:

A system and method for detecting a viewing gesture with respect to a wrist-worn device employ a logistic-regression model to pre-learn gesture metrics for on events. An output model is produced for deployment on a consumer device, allowing real-time gesture detection with high accuracy and low latency.

US Patent:

20140282270, Sep 18, 2014

Filed:

Mar 13, 2013

Appl. No.:

13/800743

Inventors:

- Libertyville IL, US
Andrew M. Slonneger - Crystal Lake IL, US

Assignee:

Motorola Mobility LLC - Libertyville IL

International Classification:

G06F 3/01

US Classification:

715863

Abstract:

A method and system for recognizing gestures on an electronic device, such as a mobile device (e.g., watch), are disclosed. In one example embodiment, the method includes obtaining a gesture template, determining a first mean value based upon the gesture template, obtaining gesture data by way of a motion sensing component of the electronic device, and calculating (by way of a processing device) a correlation metric based at least indirectly upon the gesture data and the gesture template, where the correlation metric is calculated based at least in part upon the first mean value. The method also includes determining based at least in part upon the correlation metric that a first of the gestures has occurred, and taking at least one additional action based at least in part upon the determining.

US Patent:

20140129177, May 8, 2014

Filed:

Nov 7, 2012

Appl. No.:

13/671245

Inventors:

- Libertyville IL, US
Amitkumar N. Balar - Mundelein IL, US
Shakil Barkat - San Jose CA, US
Sajid I. Dalvi - Aurora IL, US
Tushar Janefalkar - San Jose CA, US
Andrew M. Slonneger - Crystal Lake IL, US

Assignee:

Motorola Mobility LLC - Libertyville IL

International Classification:

G01C 22/00
G06F 19/00

US Classification:

702160

Abstract:

A pedometer or other stride-detection device () can record the number of strides, and the frequencies of those strides, during a running or other session using a detector (). The device () can report an estimated total elapsed distance () at the end of the session, based on the number and estimated lengths of each stride. The reported distance can be calculated using estimates for stride lengths at various frequencies based on a user profile (), as well as a correction value table () and a frequency count table (). At the end of each session, a corrected distance can be received by user input based on a treadmill display, or other means. A frequency-based correction factor can be updated based on an error ratio of the corrected and reported distances, which can be limited by a correction factor limit and distributed based on a stride frequency probability distribution.