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Brandi House

dblp:01/5619 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › assistive technology
prosthetic limb
0.012009
The VoiceBot: a voice controlled robot arm · CHI 2009

Methods — techniques the papers use, named apart from their topics

user study · 0.1control style variants · 0.1
YearPublicationVenuePosition
2009 The VoiceBot: a voice controlled robot arm
abstract
We present a system whereby the human voice may specify continuous control signals to manipulate a simulated 2D robotic arm and a real 3D robotic arm. Our goal is to move towards making accessible the manipulation of everyday objects to individuals with motor impairments. Using our system, we performed several studies using control style variants for both the 2D and 3D arms. Results show that it is indeed possible for a user to learn to effectively manipulate real-world objects with a robotic arm using only non-verbal voice as a control mechanism. Our results provide strong evidence that the further development of non-verbal voice controlled robotics and prosthetic limbs will be successful.
Brandi House, Jonathan Malkin, Jeff A. Bilmes
CHI1
2007 Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick
abstract
We explore the use of the Vocal Joystick (VJ) for robotic limb control using a small-scale robotic arm. The purpose of this research is to allow individuals with mobile disabilities to obtain greater independence by continuously controlling a robotic arm with their voice. The VJ-Voicebot relies only on continuous and discrete non-verbal vocal sounds to interact with objects in its environment. The demonstration will allow users to experience real-time control of a 5 degrees-of-freedom (DOF) robotic arm using sounds produced from their own vocal system.
Brandi House, Jonathan Malkin, Jeff A. Bilmes
ASSETS1