Results 31 to 40 of about 2,910,569 (277)
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 +11 more
core +2 more sources
Human activity recognition from object interaction in domestic scenarios [PDF]
, 2016 This paper presents a real time approach to the recognition of human activity based on the interaction between people and objects in domestic settings, specifically in a kitchen.
Aranda López, Juan +1 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 +6 more
doaj +1 more source
Sensors, 2021 This review presents the state of the art and a global overview of research challenges of real-time distributed activity recognition in the field of healthcare.
Rani Baghezza +3 more
doaj +1 more source
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
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 +3 more
core +1 more source
Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar
Leida xuebaoThrough-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 +7 more
doaj +1 more source
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 +6 more
doaj +1 more source
Going Deeper into First-Person Activity Recognition
, 2016 We bring together ideas from recent work on feature design for egocentric action recognition under one framework by exploring the use of deep convolutional neural networks (CNN).
Fan, Haoqi +2 more
core +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 +5 more
core +1 more source