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A Review of Mobile Robotic Telepresence
- A. Kristoffersson, S. Coradeschi, A. Loutfi
- Computer Science, BusinessAdv. Hum. Comput. Interact.
An overview of the various systems, application areas, and challenges found in the literature concerning mobile robotic telepresence is provided and a set terminology for the field is proposed as there is currently a lack of standard terms for the different concepts related to MRP systems.
A review of unsupervised feature learning and deep learning for time-series modeling
Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks
- Martin Längkvist, A. Kiselev, Marjan Alirezaie, A. Loutfi
- Environmental Science, MathematicsRemote. Sens.
- 14 April 2016
This paper shows how a convolutional neural network can be applied to multispectral orthoimagery and a digital surface model of a small city for a full, fast and accurate per-pixel classification.
Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges
A recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services and a number of key challenges have been outlined for data mining methods in health monitoring systems.
Sleep Stage Classification Using Unsupervised Feature Learning
The use of an unsupervised feature learning architecture called deep belief nets (DBNs) is proposed and how to apply it to sleep data in order to eliminate the use of handmade features is shown.
GiraffPlus: Combining social interaction and long term monitoring for promoting independent living
- S. Coradeschi, A. Cesta, B. Otslund
- Computer Science6th International Conference on Human System…
- 1 June 2013
A general overview of the GiraffPlus system is provided, which consists of a network of home sensors that can be automatically configured to collect data for a range of monitoring services; a semi-autonomous telepresence robot; a sophisticated context recognition system that can give high-level and long term interpretations of the collected data and respond to certain events.
Electronic noses for food quality : a review
An Ontology-based Context-aware System for Smart Homes: E-care@home
This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations.
Airborne Chemical Sensing with Mobile Robots
- A. Lilienthal, A. Loutfi, T. Duckett
- Environmental ScienceSensors (Basel, Switzerland)
- 1 November 2006
A review of research work in this field, including gas distribution mapping, trail guidance, and the different subtasks of gas source localisation, focusing largely on experimental work and not considering publications that are purely based on simulations.
Evaluation of the android-based fall detection system with physiological data monitoring
- Gregory Koshmak, M. Lindén, A. Loutfi
- Computer Science35th Annual International Conference of the IEEE…
- 3 July 2013
A framework which uses mobile phone technology together with physiological data monitoring in order to detect falls is proposed which shows performance results of 90% specificity, 100% sensitivity and 94% accuracy.