Activity rhythm detection and modeling

Hill, Rosco; Begole, Bo

doi:10.1145/765891.765989

Cited by 6 publications

(1 citation statement)

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“…In [11], Fawcett proposes a method to monitor a large amount of data from any sensor to detect changes in activity patterns and find the optimum point in time to trigger alarms. In [16], Hill builds an activity pattern representation of people working in distributed locations to develop awareness of remote co-workers' work rhythm. Chellappa [6] uses the link between object shape and shape deformation as an activity pattern definition to detect abnormal behaviors.…”

Section: Activity Identificationmentioning

confidence: 99%

M/Oris

Grange

Fong

Baur

2004

Proceedings of the 6th International Conference on Multimodal Interfaces

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We propose an architecture for a real-time multimodal system, which provides non-contact, adaptive user interfacing for Computer-Assisted Surgery (CAS). The system, called M/ORIS (for Medical/Operating Room Interaction System) combines gesture interpretation as an explicit interaction modality with continuous, real-time monitoring of the surgical activity in order to automatically address the surgeon's needs. Such a system will help reduce a surgeon's workload and operation time. This paper focuses on the proposed activity monitoring aspect of M/ORIS. We analyze the issues of Human-Computer Interaction in an OR based on real-world case studies. We then describe how we intend to address these issues by combining a surgical procedure description with parameters gathered from vision-based surgeon tracking and other OR sensors (e.g. tool trackers). We called this approach Scenario-based Activity Monitoring (SAM). We finally present preliminary results, including a non-contact mouse interface for surgical navigation systems.

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Section: Activity Identificationmentioning

confidence: 99%

M/Oris

Grange

Fong

Baur

2004

Proceedings of the 6th International Conference on Multimodal Interfaces

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Communities and Technologies 2005

2005

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All Rights Reserved © 2005 SpringerNo part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work.Printed in the Netherlands.

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Minimalist Design for Informal Learning in Community Computing

Rosson

Carroll

2005

Communities and Technologies 2005

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Abstract. We discuss the role and characteristics of informal learning in a community computing context. We argue that minimalist design can be adapted to the needs of community computing, and that its principles can be used to envision and develop community activities and technologies that promote active learning. We illustrate these ideas with several community computing projects that exemplify how to embed learning in meaningful activities, enable learners to make progress quickly, promote thinking and inference, evoke and leverage prior knowledge, and support error recognition and recovery. We conclude with a discussion of how minimalism might be used more broadly to guide the design of community computing systems and activities.

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Activity rhythm detection and modeling

Abstract: We present an algorithm for detecting and modeling rhythmic temporal patterns from the record of an individual's computer activity, or online "presence." The model is both predictive and descriptive of temporal features and is constructed with minimal a priori knowledge.

Cited by 6 publications

References 3 publications

M/Oris

M/Oris

Communities and Technologies 2005

Minimalist Design for Informal Learning in Community Computing

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