'Activity recognition' presentation slideshows

Smart Phone Sensor Mining Applications: Ubiquitous Possibilities

Smart Phone Sensor Mining Applications: Ubiquitous Possibilities. A tutorial Slides available from: http ://storm.cis.fordham.edu/~gweiss/presentations.html. Gary M. Weiss Fordham University gweiss@cis.fordham.edu storm.cis.fordham.edu/~ gweiss. What is a Smart Phone?.

1.5k views • 133 slides

Technical Solutions Underlying Wireless Health Systems

958 views • 78 slides

Thesis Defense

Learning Large-Scale Conditional Random Fields. Thesis Defense. Joseph K. Bradley. Committee Carlos Guestrin (U. of Washington, Chair) Tom Mitchell John Lafferty (U. of Chicago) Andrew McCallum (U. of Massachusetts at Amherst). 1 / 18 / 2013. Modeling Distributions.

1.04k views • 69 slides

Activity Recognition: Linking Low-level Sensors to High-level Intelligence

811 views • 64 slides

Overview of Life Logging

Overview of Life Logging. September 4, 2008 Sung-Bae Cho. Agenda. Life logging Context-aware computing Sensory data for activity recognition Life logging with mobile devices Summary. Advances of Digital Devices. Right now, it is affordable to buy 40 GB (in 2003)

649 views • 49 slides

Development of a wireless body area sensing system for alcohol craving study

638 views • 46 slides

Inferring Multi-agent Activities from GPS Data

Inferring Multi-agent Activities from GPS Data. Henry Kautz & Adam Sadilek Department of Computer Science University of Rochester. Activity Recognition from GPS. Most work to date on human activity recognition from GPS data has focused on Activities by individuals E.g.: Life-logging

543 views • 44 slides

Inferring Multi-agent Activities from GPS Data

Inferring Multi-agent Activities from GPS Data. Henry Kautz & Adam Sadilek Department of Computer Science University of Rochester. Activity Recognition from GPS. Most work to date on human activity recognition from GPS data has focused on Activities by individuals E.g.: Life-logging

498 views • 44 slides

Attribute Multiset Grammars for Global Explanations of Activities

Attribute Multiset Grammars for Global Explanations of Activities. Dima Damen, David Hogg Computer Vision Group. Activity Recognition. Activity Recognition. Activity Recognition. Activity Recognition. Activity Recognition. Activity Recognition. Contribution.

540 views • 41 slides

Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection

Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection. EWSN08: European Workshop on Wireless Sensor Networks Piero Zappi, Clemens Lombriser, Thomas Stiefmeier, Elisabetta Farella,Daniel Roggen, Luca Benini, and Gerhard Troster. ??? : 20095376 ???.

563 views • 37 slides

Data Set

Data Set. Improving Video Activity Recognition using Object Recognition and Text Mining. Tanvi S. Motwani and Raymond J. Mooney The University of Texas at Austin. What is Video Activity Recognition?. Input. Output. TYPING. LAUGHING. What has been done so far?.

441 views • 30 slides

Hidden Markov Models

Hidden Markov Models. Overview. Markov models Hidden Markov models(HMM) Issues Regarding HMM Algorithmic approach to Issues of HMM. Markov Models. A Markov model is a finite state machine with N distint states begins at (Time t = 1) in initial state .

565 views • 27 slides

PULSAR P erception U nderstanding L earning S ystems for A ctivity R ecognition

P U L S A R. PULSAR P erception U nderstanding L earning S ystems for A ctivity R ecognition. Theme: Cognitive Systems Cog C Multimedia data: interpretation and man-machine interaction Multidisciplinary team: Computer vision, artificial intelligence, software engineering.

377 views • 24 slides

Activity Recognition from User-Annotated Acceleration Data

Activity Recognition from User-Annotated Acceleration Data. Presented by James Reinebold CSCI 546. Outline. Motivation Experiment Design Classification Methods Used Results Conclusion Critique. Motivation. Can we recognize human activities based on mobile sensor data? Applications

346 views • 24 slides

Recognizing Activities of Daily Living from Sensor Data

Recognizing Activities of Daily Living from Sensor Data. Henry Kautz Department of Computer Science University of Rochester. Activity Recognition. Much recent interest in recognizing human activity from heterogeneous sensor data Motion sensors GPS RFID Video Compelling applications

328 views • 19 slides

288 views • 19 slides

A Wearable RFID System for Real-time Activity Recognition using Radio Patterns

A Wearable RFID System for Real-time Activity Recognition using Radio Patterns. Liang Wang 1 , Tao Gu 2 , Hongwei Xie 1 , Xianping Tao 1 , Jian Lu 1 , and Yu Huang 1 1 State Key Laboratory for Novel Software Technology, Nanjing University, P. R. China.

332 views • 18 slides

Limitations with Activity Recognition Methodology and Data Sets

Limitations with Activity Recognition Methodology and Data Sets. Gary Weiss Fordham University Jeffrey Lockhart Cambridge University Work supported by National Science Foundation Grant No. 1116124. Genesis of this work.

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The Applications and Dangers of Accelerometers By Michael Murphy

The Applications and Dangers of Accelerometers By Michael Murphy Supervisor: Adrian Perrig and CyLab at CMU. Why is this important?. Accelerometers in the World Today. Background Information. Our Project Continued. Accelerometers: What are they?

274 views • 1 slides

Activity Recognition through Goal-Based Segmentation

Activity Recognition through Goal-Based Segmentation. Jie Yin, Dou Shen, Qiang Yang and Ze-Nian Li, AAAI 2005. Application Domain: Wireless Environment. Probabilistic Segmentation Model. Trace Database on Signal-Strength Readings. Motion Pattern:. Illustration on Sensory data.

129 views • 1 slides