PON04a3_00238 (AD-PERSONAS)
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The progress in science and medicine in the recent years have helped to significantly increase life expectancy. ICT technologies - and the Wireless Body Sensor Networks (BSNs) in particular – play a central role at improving the quality of the current health-care systems and services, by integrating them in future "smart cities" eco-system. BSNs consist of wearable sensors applied to the human body for real-time continuous monitoring of physical activities and vital signs. Relevant BSNs application domains include prevention, early detection and monitoring of diseases, elderly assistance at home, fitness, gesture recognition, motor rehabilitation, cognitive and emotion recognition. Some research prototypes of BSN have been developed, but very few hit the market and no one has gained wide success. One of the reasons is that current prototypes are tightly coupled to specific applications and are not interoperable. So, to fully exploit their potential, the AD-PERSONAS project aims to develop an open platform for continuous and heterogeneous monitoring of assisted livings. Specifically, the project objectives include i) a Software distributed multi-layer architecture for efficient management of BSN-based smart-Health services, ii) energy-aware algorithms for the posture/movements recognition and vital signs monitoring, iii) a Biomedical distributed system based on Cloud computing technologies for remote 24/7 monitoring of critical patients. AD-PERSONAS can offer huge benefits to health-care providers and to the patients themselves, which could be monitored remotely through wearable non-invasive technologies so to save financial and human resources. The outcome, then, will be not only scientific but with economical and social impacts.
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From context aware to socially awareness computing - IEEE Pervasive Computing...
Paul Lukowicz, DFKI Kaiserslautern, Germany
Alex Pentland, MIT Mdeia Lab
Alois Ferscha, Johannes Kepler Univ. of Linz, Austria
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Virtual Class room using six sense Technology
The document describes a virtual classroom system that uses six sense technology. Six sense technology allows for a virtual classroom that does not require computers, laptops, or an internet connection. It uses a wearable device with a camera and projector that recognizes gestures and projects digital information onto surfaces. The system would allow students and professors to access information and interact with a virtual classroom anywhere through hand gestures.
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This document discusses a system for human activity recognition using flex sensors. Flex sensors are attached to the body and can detect movements. The flex sensor data is fed into a neural network model to recognize activities. The model is trained using flex sensor data from various human activities. The trained model can then accurately recognize activities based on new flex sensor input data. The system is meant to help elderly people or those with disabilities by allowing them to control devices with body movements detected by flex sensors. It aims to provide a modular system that can adapt to new users and disabilities. Flex sensors make the system customizable while neural networks enable accurate activity recognition.
Sixth sense technology
Sixth Sense is a wearable gestural interface that integrates digital information into the physical world and its objects, making the entire world your computer and lets us use natural hand gestures to interact with that information.
Ambient Intelligence
Ambient intelligence is an environment that is sensitive and responsive to human presence. It involves the convergence of three areas: embedded devices integrated into the environment, context awareness to recognize users and situations, and personalization and adaptiveness to meet individual needs. Some applications of ambient intelligence include health monitoring, public transportation, education, emergency services, and production facilities. The goal is to embed intelligence into devices to make them smart and capable of attending to users' needs and lifestyles.
Sixth sense technology
Sixth Sense is a wearable device that augments reality by projecting digital information onto physical surfaces using an attached pico-projector and mirror. It allows users to interact with this projected information using natural hand gestures recognized by an onboard camera. Some key applications include accessing information about physical objects by pointing at them, drawing on surfaces, getting maps and directions, checking the time with a gesture, and taking photos. The system has potential for hands-free interaction with information and enhancing understanding of the physical world around us.
pervasive-computing-09022014092937-pervasive-computing.ppt
Pervasive computing refers to embedding computers and communication technologies into our everyday environments. The goal of pervasive computing is to make computing power invisible but always available whenever needed. It aims to make computers operate seamlessly in the real world through distributed devices that can dynamically discover and interact with each other. Proponents argue that pervasive computing could make human life simpler, safer and more efficient by leveraging ambient intelligence from connected devices. However, privacy, security and technical challenges remain as pervasive systems could gather and share sensitive personal data without user consent.
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PON04a3_00238 (AD-PERSONAS)
- 1. AD-PERSONAS A Cloud Platform for smart-Health services based on wearable sensors Raffaele Gravina November, 20th 2013
- 2. Outline Background AD-PERSONAS 1. Software Platform 2. Algorithms 3. Case studies /16
- 3. Smart-Health & Wearable Sensors Wireless Body Sensor Networks (BSNs) are WSN applied to the human body. One or often multiple tiny wireless sensor nodes are Inserted into garments (e.g. smart fabrics), or Applied directly on the skin (e.g. with electrodes or elastic strap bands) They have wireless communication capabilities to connect to a personal mobile coordinator device (e.g. smartphone or tablet) Applications: e-Fitness & e-Wellness, emotion and stress recognition, /16 m-Health, smart personal mobility, interactive gaming, …
- 4. The Project AD-PERSONAS: A Customizable Distributed Platform based on Body Sensor Networks for Pervasive and Continuous Monitoring of Assisted Livings Funding: 2007-2013 NOP for Research and Competitiveness for the Convergence Regions – Social Innovation Projects Start Date: November 31st, 2012 Duration: 30 months Budget: 187.000,00 € Web Site: http://ad-personas.dimes.unical.it /16
- 5. AD-PERSONAS It’s a customizable Cloud computing platform to enable smart-Health services, based on wireless wearable sensing devices, for continuous noninvasive remote monitoring of assisted livings Three-Tier, open-source, distributed, Cloud-based
- 6. Outcomes Faster software prototyping More accurate and relevant medical data Interoperability among services Higher comfort for patients Economic impact
- 9. The algorithms Action recognition Supervised learning Decisions Trees (e.g. J48) KNN Startle reflex and arousal detection Pattern Recognition Template Matching (+) Time warping Power-efficient Real-time Embedded implementation
- 10. Case study 1 Physical Activity Recognition System configuration: 2 wireless motion sensors 1 personal mobile device Recognized Activities and posture: walking, standing, sitting, lying, ... Energy Expenditure (Kcal) Accuracy >98% /16
- 11. Case study 2 Cardiac Monitoring Full ECG Trace (2 channels, 150Hz) Heart Rate Abnormal cardiac activity notification Mental Stress Detection Fear and Anxiety recognition Real-time, 24/7 Low-power Wearable /16