Evaluating AAL Systems Through Competitive Benchmarking

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Cover of 'Evaluating AAL Systems Through Competitive Benchmarking'

Table of Contents

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Book Overview
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Chapter 1 An Improved Saliency for RGB-D Visual Tracking and Control Strategies for a Bio-monitoring Mobile Robot
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Chapter 2 Efficient Activity Recognition and Fall Detection Using Accelerometers
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Chapter 3 Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing
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Chapter 4 Activity Recognition System Using Non-intrusive Devices through a Complementary Technique Based on Discrete Methods
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Chapter 5 Human Activity Recognition Based on Multiple Kinects
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Chapter 6 RealTrac Technology Overview
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Chapter 7 Enhancements to the LOCOSmotion Person Tracking System
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Chapter 8 AmbiTrack - Marker-free Indoor Localization and Tracking of Multiple Users in Smart Environments with a Camera-based Approach
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Chapter 9 Mobile Robot Platform to track User Movement and Behaviour
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Chapter 10 A GPS/Wi-Fi/Marker Analysis Based Simultaneous and Hierarchical Multi-Positioning System
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Chapter 11 Indoor Localization and Tracking Using 802.11 Networks and Smartphones
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Chapter 12 Indoor Localization Based on Resonant Oscillating Magnetic Fields for AAL Applications

Attention for Chapter 9: Mobile Robot Platform to track User Movement and Behaviour

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Citations

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Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition

Article in Sensors (December 2023)

A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL–ETRI competition

Article in Journal of Ambient Intelligence and Smart Environments (February 2017)

Human activity recognition using multisensor data fusion based on Reservoir Computing

Article in Journal of Ambient Intelligence and Smart Environments (March 2016)

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