Results 31 to 40 of about 2,895,343 (277)

Interactive singulation of objects from a pile [PDF]

, 2012
—Interaction with unstructured groups of objects allows a robot to discover and manipulate novel items in cluttered environments. We present a framework for interactive singulation of individual items from a pile.
Dieter Fox, Joshua R. Smith, Lillian Chang   +2 more
core   +1 more source

A Comprehensive Study of Activity Recognition Using Accelerometers

Informatics, 2018
This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly focused on long-term activity recognition in real-world settings.
Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter Flach, Ian Craddock   +6 more
doaj   +1 more source

Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition [PDF]

, 2016
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sensor ...
Alsheikh, Daniel Roggen, Dauphin, Dieleman, Francisco Ordóñez, Gers, Japkowicz, Karpathy, LeCun, Ng, Pigou, Sermanet   +11 more
core   +2 more sources

Active Goal Recognition

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
The objective of goal recognition is to infer a goal that accounts for the observed behavior of an actor. In this work, we introduce and formalize the notion of active goal recognition in which we endow the observer with agency to sense, reason, and act in the world with a view to enhancing and possibly expediting goal recognition, and/or to ...
Maayan Shvo, Sheila A. McIlraith
openaire   +2 more sources

Development of Transformations from Business Process Models to Implementations by Reuse [PDF]

, 2007
This paper presents an approach for developing transformations from business process models to implementations that facilitates reuse. A transformation is developed as a composition of three smaller tasks: pattern recognition, pattern realization and ...
Dirgahayu, Teduh, Quartel, Dick, Sinderen, Marten van   +2 more
core   +4 more sources

Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients

Sensors, 2022
The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments.
Miguel Ortiz-Barrios, Eric Järpe, Matías García-Constantino, Ian Cleland, Chris Nugent, Sebastián Arias-Fonseca, Natalia Jaramillo-Rueda   +6 more
doaj   +1 more source

Generalized Rank Pooling for Activity Recognition

, 2017
Most popular deep models for action recognition split video sequences into short sub-sequences consisting of a few frames; frame-based features are then pooled for recognizing the activity.
Cherian, Anoop, Fernando, Basura, Gould, Stephen, Harandi, Mehrtash   +3 more
core   +1 more source

Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar

Leida xuebao
Through-wall human pose reconstruction and behavior recognition have enormous potential in fields like intelligent security and virtual reality. However, existing methods for through-wall human sensing often fail to adequately model four-Dimensional (4D)
Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN   +7 more
doaj   +1 more source

Tangible User Interface and Mu Rhythm Suppression: The Effect of User Interface on the Brain Activity in Its Operator and Observer

Applied Sciences, 2017
The intuitiveness of tangible user interface (TUI) is not only for its operator. It is quite possible that this type of user interface (UI) can also have an effect on the experience and learning of observers who are just watching the operator using it ...
Kazuo Isoda, Kana Sueyoshi, Ryo Miyamoto, Yuki Nishimura, Yuki Ikeda, Ichiro Hisanaga, Stéphanie Orlic, Yeon-kyu Kim, Shigekazu Higuchi   +8 more
doaj   +1 more source

Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

, 2017
An electroencephalography (EEG) based brain activity recognition is a fundamental field of study for a number of significant applications such as intention prediction, appliance control, and neurological disease diagnosis in smart home and smart ...
Gu, Tao, Sheng, Quan Z., Wang, Xianzhi, Yao, Lina, Zhang, Dalin, Zhang, Xiang   +5 more
core   +1 more source