Web of Objects Based Ambient Assisted Living Framework for Emergency Psychiatric State Prediction
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Web of Objects Based Ambient Assisted Living Framework for Emergency Psychiatric State Prediction
Authors
Keywords
-
Journal
SENSORS
Volume 16, Issue 9, Pages 1431
Publisher
MDPI AG
Online
2016-09-06
DOI
10.3390/s16091431
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Human activity recognition using segmented body part and body joint features with hidden Markov models
- (2016) Md. Zia Uddin MULTIMEDIA TOOLS AND APPLICATIONS
- Wireless Sensors Grouping Proofs for Medical Care and Ambient Assisted-Living Deployment
- (2016) Denis Trček SENSORS
- VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks
- (2015) Abdul Waheed Khan et al. IEEE SENSORS JOURNAL
- Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields
- (2015) Muhammad Hameed Siddiqi et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- An Efficient Data Compression Model Based on Spatial Clustering and Principal Component Analysis in Wireless Sensor Networks
- (2015) Yihang Yin et al. SENSORS
- A Smart Phone-Based Pocket Fall Accident Detection, Positioning, and Rescue System
- (2015) Lih-Jen Kau et al. IEEE Journal of Biomedical and Health Informatics
- GECC: Gene Expression Based Ensemble Classification of Colon Samples
- (2014) Saima Rathore et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives
- (2014) Muhammad Fahim et al. SENSORS
- Web-of-Objects (WoO)-Based Context Aware Emergency Fire Management Systems for the Internet of Things
- (2014) Zia Shamszaman et al. SENSORS
- Discovery and validation of blood biomarkers for suicidality
- (2013) H Le-Niculescu et al. MOLECULAR PSYCHIATRY
- Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex Tasks
- (2013) Prafulla N. Dawadi et al. IEEE Transactions on Systems Man Cybernetics-Systems
- An Efficient Model for Smart Home by the Virtualization of Wireless Sensor Network
- (2013) Md. Motaharul Islam et al. International Journal of Distributed Sensor Networks
- A Spatiotemporal Robust Approach for Human Activity Recognition
- (2013) Md. Zia Uddin et al. International Journal of Advanced Robotic Systems
- Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
- (2012) Pari Delir Haghighi et al. DECISION SUPPORT SYSTEMS
- Forecasting Depression in Bipolar Disorder
- (2012) P. J. Moore et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Cognitive Automation—Survey of Novel Artificial General Intelligence Methods for the Automation of Human Technical Environments
- (2011) Dietmar Bruckner et al. IEEE Transactions on Industrial Informatics
- Towards long term monitoring of electrodermal activity in daily life
- (2011) Cornelia Kappeler-Setz et al. Personal and Ubiquitous Computing
- The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review
- (2010) Kurt Kroenke et al. GENERAL HOSPITAL PSYCHIATRY
- A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors
- (2009) E. Guenterberg et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Generalized Discriminant Analysis: A Matrix Exponential Approach
- (2009) Taiping Zhang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started