A5007139599- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- IoT-based Smart Home Systems
- Service-Oriented Architecture and Web Services
- Cardiovascular Health and Risk Factors
- IoT Networks and Protocols
- Wireless Networks and Protocols
- Medical Research and Treatments
- Network Time Synchronization Technologies
- Wireless Sensor Networks and IoT
- Cloud Computing and Resource Management
- Human Pose and Action Recognition
- Full-Duplex Wireless Communications
- Anomaly Detection Techniques and Applications
- Mobile Agent-Based Network Management
- Energy Harvesting in Wireless Networks
- Healthcare Technology and Patient Monitoring
- Age of Information Optimization
- Advanced Computing and Algorithms
- Video Surveillance and Tracking Methods
- Global Healthcare and Medical Tourism
- Advanced Image and Video Retrieval Techniques
China Mobile (China)
2023
Chongqing University of Posts and Telecommunications
2021
University of Bristol
2015-2016
There's a widely known need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central several studies. This article presents an overview this rapidly growing body work, as well implications for machine learning, with aim uncovering gap between state art and broad needs services ambient assisted living. Most approaches address specific concerns, typically result solutions that aren't able support full-scale data analysis...
Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient - one that is only capable of assisting people with diverse medical conditions, but can also recognise the habits healthy habitants, well those developing conditions. The recognition Activities Daily (ADL) understanding and provisioning appropriate efficient care. ADL particularly difficult achieve...
Green communication is one of the key goals beyond 5G networks. However, as more and delay sensitive applications emerge, contradiction between task requirement energy conservation becomes prominent on device side. This paper focuses a mobile edge computing system where local capability are both limited, which may lead to discarding due violation. An consumption minimization problem first formulated under binary offloading partial modes. Then low-complexity heuristic scheme Lagrange dual...
This paper outlines the Sensor Platform for HEalthcare in Residential Environment (SPHERE) project and details SPHERE challenge that will take place conjunction with European Conference on Machine Learning Principles Practice of Knowledge Discov- ery (ECML-PKDD) between March July 2016. The chal- lenge is an activity recognition competition where predictions are made from video, accelerometer environmental sensors. Monitory prizes be awarded to top three entrants, e1,000 being winner, e600...
SPHERE is a large multidisciplinary project to research and develop sensor network facilitate home healthcare by activity monitoring, specifically towards activities of daily living. It aims use the latest technologies in low powered sensors, internet things, machine learning automated decision making provide benefits patients clinicians. This dataset comprises data collected from deployment during set experiments conducted 'SPHERE House' Bristol, UK, 2016, including video tracking,...
AAL platforms for health and care purposes are designed to be used by diverse stakeholders, such as household residents, carers healthcare professionals, with equally needs. Reducing the latency of systems is key achieving a positive user experience, well enabling appropriate responses critical incidents. This paper introduces distributed middleware solution that can improve data-acquisition, run computational algorithms locally seamlessly deliver notifications various subscribers. The...
This paper outlines the Sensor Platform for HEalthcare in Residential Environment (SPHERE) project and details SPHERE challenge that will take place conjunction with European Conference on Machine Learning Principles Practice of Knowledge Discovery (ECML-PKDD) between March July 2016. The is an activity recognition competition where predictions are made from video, accelerometer environmental sensors. Monetary prizes be awarded to top three entrants, Euro 1,000 being winner, 600 first runner...
Boao Lecheng International Medical Tourism Pilot Area is the only administrative area in China where pilot application of real-world data performed. Based on special healthcare policy Lecheng, conducting study to provide evidence for clinical evaluations and approvals innovated medical products has become an important field that supports reform China's evaluation approval system products. Trustworthy needs rely both high-quality reasonable rigorous designs. research guidelines specifications...
This paper mainly introduces the search engine optimization scheme used by airlines to check flight and fare information. The legacy shopping based on IBE has two drawbacks. First, query efficiency is low. Second, ability withstand pressure weak.In order solve these problems, application of cloud computing technology, this proposes a data cache accuracy build new architecture.We will focus how improve accuracy.The shows that been improved from initial 75.62% maximum 98.68%. One airline...