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Richard Isaac Wallis

dblp:65/6667 · also Isaac Wallis · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 3

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
3 papers
Health and well-being technologies · 26% Haptics and multimodal interaction · 24% Collaborative and social computing · 15%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies
rehabilitation technology
0.122006
A real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
Interaction techniques and input › post-WIMP interaction › embodied interaction
movement-based interaction
0.112010
Thrii · ACM Multimedia 2010
Haptics and multimodal interaction
multimodal interaction
0.112010
Thrii · ACM Multimedia 2010
Immersive interaction
interactive multimodal environment
0.122006
A real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
Wearable and physiological sensing › physiological computing
biofeedback
0.112006
The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
Haptics and multimodal interaction
multimodal feedback
0.112006
The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
Health and well-being technologies › rehabilitation
stroke rehabilitation
0.112006
The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006
Visualization and visual analytics
interactive visualization
0.012010
Thrii · ACM Multimedia 2010

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

similarity computation · 0.2accelerometer tracking · 0.2visual feedback · 0.1auditory feedback · 0.1audiovisual feedback · 0.1audio-visual feedback · 0.1real-time biofeedback · 0.1feature identification · 0.1
YearPublicationVenuePosition
2010 Thrii
abstract
Thrii is a multimodal interactive installation that explores levels of movement similarity among its participants. Each of the three participants manipulates a large spherical object whose movement is tracked via an embedded accelerometer. An analysis engine computes the similarity of movement for each possible pair of objects, as well as self-similarity (e.g., repetition of movement over time) for each object. The extent of similarity among the movements of each object is communicated by a visualization projected on a three-sided pyramid, a non-directional audio environment, and lighting produced by the spherical objects. The installation's focus is intended to examine notions of collaboration between participants. We have found that participants engage with Thrii through exploration of collaborative gestures.
Nicole Lehrer, David Tinapple, Tatyana Koziupa, Assegid Kidané, Stjepan Rajko, Richard Isaac Wallis, Michael Baran, David Lorig, Diana Siwiak, Loren Olson
ACM Multimedia7
2006 The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation
abstract
This paper presents a novel real-time, multi-modal biofeedback system for stroke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are three contributions of this paper - (a) identification of features and goals for the functional task (b) The development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task. We additionally develop novel action-feedback coupling mechanisms. (c) New metrics to validate the ability of the system to promote learnability, stylization and engagement. We have validated the system for nine subjects with excellent results.
Yinpeng Chen, He Huang 0002, Richard Isaac Wallis, Hari Sundaram, Thanassis Rikakis, Todd Ingalls, Loren Olson, Jiping He
ACM Multimedia4
2006 A real-time, multimodal biofeedback system for stroke patient rehabilitation
abstract
This paper presents a novel real-time, multi-modal biofeedback system for stoke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are two contributions of this paper - (a) identification of features and goals for the functional task, (b) the development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task.
Yinpeng Chen, Richard Isaac Wallis, Hari Sundaram, Thanassis Rikakis, Todd Ingalls, Loren Olson, Jiping He
ACM Multimedia3