Book ChapterDOI
Activity recognition using hierarchical hidden markov models on a smartphone with 3D accelerometer
Young-Seol Lee,Sung-Bae Cho +1 more
- pp 460-467
TLDR
An activity recognition system on a smartphone is proposed where the uncertain time-series acceleration signal is analyzed by using hierarchical hidden Markov models by addressing the limitations on the memory storage and computational power of the mobile devices.Citations
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Journal ArticleDOI
Human activity recognition with smartphone sensors using deep learning neural networks
Charissa Ann Ronao,Sung-Bae Cho +1 more
TL;DR: A deep convolutional neural network is proposed to perform efficient and effective HAR using smartphone sensors by exploiting the inherent characteristics of activities and 1D time-series signals, at the same time providing a way to automatically and data-adaptively extract robust features from raw data.
Journal ArticleDOI
Window Size Impact in Human Activity Recognition
TL;DR: An extensive study to fairly characterize the windowing procedure, to determine its impact within the activity recognition process and to help clarify some of the habitual assumptions made during the recognition system design is presented.
Journal ArticleDOI
Activity recognition with smartphone sensors
Xing Su,Hanghang Tong,Ping Ji +2 more
TL;DR: This paper presents a comprehensive survey of the recent advances in activity recognition with smartphones' sensors, starting with the basic concepts such as sensors, activity types, etc and reviewing the core data mining techniques behind the main stream activity recognition algorithms.
Journal ArticleDOI
Advanced internet of things for personalised healthcare systems
TL;DR: This paper will give a systematic review on advanced IoT enabled PHS, and key enabling technologies, major IoT enabled applications and successful case studies in healthcare, and finally point out future research trends and challenges.
Journal ArticleDOI
A Review and Taxonomy of Activity Recognition on Mobile Phones
TL;DR: This paper provides a review on the activity recognition systems that use integrated sensors in the mobile phone with a special focus on the systems that target personal health and well-being applications.
References
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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.
Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Journal ArticleDOI
Activity recognition using cell phone accelerometers
TL;DR: This work describes and evaluates a system that uses phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity a user is performing, and has a wide range of applications, including automatic customization of the mobile device's behavior based upon a user's activity.
Journal ArticleDOI
Editorial: wireless sensor networks
TL;DR: The state-of-the-art protocol for WSN protocol stack is explored for transport, routing, data link and physical layers, and the open research issues are discussed for each of the protocol layers.
Book
Bayesian artificial intelligence
Kevin B. Korb,Ann E. Nicholson +1 more
TL;DR: This book discusses Bayesian Reasoning, Bayesian Network Applications, and Knowledge Engineering with Bayesian Networks I and II.