Asim Smailagic - Pittsburgh PA Daniel P. Siewiorek - Pittsburgh PA John M. Stivoric - Pittsburgh PA Drew Anderson - Pittsburgh PA Randall W. Casciola - Pittsburgh PA
Assignee:
Carnegie Mellon University - Pittsburgh PA
International Classification:
G09G 500
US Classification:
345184, 345156
Abstract:
A portable computer system with an ergonomic input device is comprised of a housing having a top surface. A central processing unit is carried in the housing. A heads-up display is provided for displaying information to a user, with certain of the information being selectable by the user. The display is under the control of the central processing unit. A first rotary switch produces a first input signal for identifying the information to be selected. A second input switch produces a second input signal for selecting the identified information. Both the first and second input switches are carried on the top surface of the housing. An input interface receives the first and second input signals and encodes the information therein into an eight bit byte for input to the central processing unit. In one embodiment, the housing may be carried in a case which is worn by the user while the heads-up display is positioned proximate to the users eye by a headband. The portable computer system can be used to browse hypertext documents, browse World Wide Web pages on the Internet and access interactive electronic technical manuals (IETMs).
Portable Computer System With Ergonomic Input Device
Asim Smailagic - Pittsburgh PA John Michael Stivoric - Pittsburgh PA Daniel Paul Siewiorek - Pittsburgh PA Drew Anderson - Pittsburgh PA
Assignee:
Carnegie Mellon University - Pittsburgh PA
International Classification:
G09G 500
US Classification:
345156
Abstract:
A portable computer system with an ergonomic input device is comprised of a housing having a top surface. A central processing unit is carried in the housing. A heads-up display is provided for displaying information to a user, with certain of the information being selectable by the user. The display is under the control of the central processing unit. A first rotary switch produces a first input signal for identifying the information to be selected. A second input switch produces a second input signal for selecting the identified information. Both the first and second input switches are carried on the top surface of the housing. An input interface receives the first and second input signals and encodes the information therein into an eight bit byte for input to the central processing unit. In one embodiment, the housing may be carried in a case which is worn by the user while the heads-up display is positioned proximate to the user's eye by a headband.
Electronic Packages And Smart Structures Formed By Thermal Spray Deposition
Fritz B. Prinz - Pittsburgh PA Lee E. Weiss - Pittsburgh PA Daniel P. Siewiorek - Pittsburgh PA
International Classification:
H01L 2302
US Classification:
257417
Abstract:
A smart structure or an electronic package is formed by thermal spraying utilizing a plurality of masks positioned and removed over a work surface in accordance with a predetermined sequence. The masks correspond to cross sections normal to a centerline through the structure. Masks are placed above a work surface and sprayed with either at least one primary material to form at least one electronic component and a complementary material. In this manner, layers of material form a block of deposition material and complementary material. Then, the complementary material which serves as a support structure during forming may be removed.
Emotion Recognition System And Method For Modulating The Behavior Of Intelligent Systems
- Pittsburgh PA, US Daniel Siewiorek - Pittsburgh PA, US
Assignee:
CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Profit Corporation - Pittsburgh PA
International Classification:
G06N 99/00 G06N 7/00
Abstract:
The disclosure describes an audio-based emotion recognition system that is able to classify emotions in real-time. The emotion recognition system, according to some embodiments, adjusts the behavior of intelligent systems, such as a virtual coach, depending on the user's emotion, thereby providing an improved user experience. Embodiments of the emotion recognition system and method use short utterances as real-time speech from the user and use prosodic and phonetic features, such as fundamental frequency, amplitude, and Mel-Frequency Cepstral Coefficients, as the main set of features by which the human speech is characterized. In addition, certain embodiments of the present invention use One-Against-All or Two-Stage classification systems to determine different emotions. A minimum-error feature removal mechanism is further provided in alternate embodiments to reduce bandwidth and increase accuracy of the emotion recognition system.
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