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Mary Baker

Researcher at Hewlett-Packard

Publications -  127
Citations -  10732

Mary Baker is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Ubiquitous computing & The Internet. The author has an hindex of 38, co-authored 127 publications receiving 10617 citations. Previous affiliations of Mary Baker include University of California, Berkeley & Stanford University.

Papers
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Journal ArticleDOI

Interaction Platforms, Energy Conservation, Behavior Change Research, and More

TL;DR: This installment of Notes from the Community covers new developments in interaction toolkits and platforms, security and privacy, smartphones, power consumption and battery life, and ubicomp education.
Proceedings ArticleDOI

Avoiding nostril-cam and postage-stamp people in mobile video conferences

TL;DR: This paper describes how the devices' mobility and embedded sensors are exploited to detect and fix two problems that are often ignored but that adversely affect user experience: bad view angles and too-tiny views of people and content, especially in multi-party conferences.
Patent

Muting microphones of physically colocated devices

TL;DR: In this paper, the ability for a computing device to configure one microphone at a time from physically colocated devices to remain active for participating in a teleconference was discussed, where the computing device determines whether a first device with a first microphone on the teleconference is physically coocated with respect to a second device having a second microphone.
Proceedings ArticleDOI

Visual framing feedback for desktop video conferencing

TL;DR: This work combines face detection, feature tracking and motion detection for automatic real-time detection of poorly framed participants and subsequently provide framing feedback by compositing their incoming and outgoing video streams.
Proceedings ArticleDOI

Sensing device co-location through patterns of silence

TL;DR: This document describes the technology behind the accompanying video, which gives a demonstration of determining the dynamic group membership of a meeting by matching patterns of relative audio silence, or "silence signatures," sensed by mobile devices.