Proceedings ArticleDOI
Fine-grained activity recognition by aggregating abstract object usage
Donald J. Patterson,Dieter Fox,Henry Kautz,Matthai Philipose +3 more
- pp 44-51
TLDR
A sequence of increasingly powerful probabilistic graphical models for activity recognition are presented that can reason tractably about aggregated object instances and gracefully generalizes from object instances to their classes by using abstraction smoothing.Abstract:
In this paper we present results related to achieving finegrained activity recognition for context-aware computing applications. We examine the advantages and challenges of reasoning with globally unique object instances detected by an RFID glove. We present a sequence of increasingly powerful probabilistic graphical models for activity recognition. We show the advantages of adding additional complexity and conclude with a model that can reason tractably about aggregated object instances and gracefully generalizes from object instances to their classes by using abstraction smoothing. We apply these models to data collected from a morning household routine.read more
Citations
More filters
Journal ArticleDOI
A tutorial on human activity recognition using body-worn inertial sensors
TL;DR: In this paper, the authors provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition using on-body inertial sensors and describe the concept of an Activity Recognition Chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems.
A Tutorial on Human Activity Recognition Using Body-Worn
Andreas Bulling,Ulf Blanke +1 more
TL;DR: This tutorial aims to provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition using on-body inertial sensors and describes the concept of an Activity Recognition Chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems.
Journal ArticleDOI
Sensor-Based Activity Recognition
TL;DR: A comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition, making a primary distinction in this paper between data-driven and knowledge-driven approaches.
Proceedings ArticleDOI
Accurate activity recognition in a home setting
TL;DR: This paper presents an easy to install sensor network and an accurate but inexpensive annotation method and shows how the hidden Markov model and conditional random fields perform in recognizing activities.
Proceedings ArticleDOI
Detecting activities of daily living in first-person camera views
Hamed Pirsiavash,Deva Ramanan +1 more
TL;DR: This work presents a novel dataset and novel algorithms for the problem of detecting activities of daily living in firstperson camera views, and develops novel representations including temporal pyramids and composite object models that exploit the fact that objects look different when being interacted with.
References
More filters
Journal ArticleDOI
A tutorial on hidden Markov models and selected applications in speech recognition
TL;DR: In this paper, the authors provide an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and give practical details on methods of implementation of the theory along with a description of selected applications of HMMs to distinct problems in speech recognition.
Book ChapterDOI
Activity Recognition in the Home Using Simple and Ubiquitous Sensors
TL;DR: Preliminary results on a small dataset show that it is possible to recognize activities of interest to medical professionals such as toileting, bathing, and grooming with detection accuracies ranging from 25% to 89% depending on the evaluation criteria used.
Journal ArticleDOI
Mica: a wireless platform for deeply embedded networks
Jason Hill,David E. Culler +1 more
TL;DR: Mica provides a set of richly interconnected primitives to facilitate cross-layer optimizations and develops customized protocols tailored to their application; Mica does not require use of predefined protocols.
Journal ArticleDOI
Inferring activities from interactions with objects
Matthai Philipose,Kenneth P. Fishkin,Mike Perkowitz,Donald J. Patterson,Dieter Fox,Henry Kautz,Dirk Hähnel +6 more
TL;DR: The key observation is that the sequence of objects a person uses while performing an ADL robustly characterizes both the ADL's identity and the quality of its execution.
Proceedings Article
Generalized plan recognition
Henry Kautz,James F. Allen +1 more
TL;DR: A new theory of plan recognition that is significantly more powerful than previous approaches and employs circumscription to transform a first-order theory of action into an action taxonomy, which can be used to logically deduce the complex action(s) an agent is performing.