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Cloud-assisted body area networks: state-of-the-art and future challenges

Giancarlo Fortino, Giuseppe Di Fatta, Mukaddim Pathan, Athanasios V. Vasilakos
2014 Wireless networks  
Cloud computing can provide a flexible storage and processing infrastructure to perform both online and offline analysis of body sensor data streams.  ...  Data generated by a BAN can be processed in real-time by the BAN coordinator and/or transmitted to a server-side for online/offline processing and long-term storing.  ...  of distributed body sensor data streams produced by a community of individuals.  ... 
doi:10.1007/s11276-014-0714-1 fatcat:2zrcbhspyjg5lnydabwjbxttoy

BodyCloud: A SaaS approach for community Body Sensor Networks

Giancarlo Fortino, Daniele Parisi, Vincenzo Pirrone, Giuseppe Di Fatta
2014 Future generations computer systems  
Cloud computing can provide a flexible storage and processing infrastructure to perform both online and offline analysis of data streams generated in BSNs.  ...  BodyCloud is a multi-tier application-level architecture that integrates a Cloud computing platform and BSN data streams middleware.  ...  -In-node Processing allows to compute one or more functions on the collected sensor data and to send the merged data streams (if more than one) to the base station.  ... 
doi:10.1016/j.future.2013.12.015 fatcat:gedkd4vlhjgbzl6rx7mtetlk2a

Survey of Applications of Complex Event Processing (CEP) in Health Domain

Nadeem Mahmood, Madiha Khurram Pasha, Khurram Ahmed Pasha
2017 Sukkur IBA Journal of Computing and Mathematical Sciences  
Real time processing, pattern matching, stream processing, big data management, sensor data processing and many more are the application areas of CEP.  ...  In this paper, the main focus is to discuss the application areas of Complex Event Processing (CEP) in health domain by using sensor device, such that how CEP manipulate health data set events coming from  ...  To manipulate sensor data and generate event stream form sensor data CEP is a very helpful tool.  ... 
doi:10.30537/sjcms.v1i2.21 fatcat:fa4fjboonjgbtkjk4rngnjtqvm

The Role of High Performance Computing and Communication for Real-Time Biofeedback in Sport

Anton Umek, Anton Kos
2016 Mathematical Problems in Engineering  
DataFlow computing is found as a good choice for real-time biofeedback systems with large data streams.  ...  Real-time sensor signal acquisitions and real-time processing challenges, in connection with biomechanical biofeedback, are presented.  ...  Although Shimmer3 sensor device does support streaming, the bit rate of the Bluetooth technology used for the transmission sensor data is not high enough for streaming 9-DoF sensor signal data with sampling  ... 
doi:10.1155/2016/4829452 fatcat:ubodrhsnxre3xetscx23fdi4tq

Real-Time Activity Recognition in Wireless Body Sensor Networks: From Simple Gestures to Complex Activities

Liang Wang, Tao Gu, Hanhua Chen, Xianping Tao, Jian Lu
2010 2010 IEEE 16th International Conference on Embedded and Real-Time Computing Systems and Applications  
Real-time activity recognition using body sensor networks is an important and challenging task and it has many potential applications.  ...  In this paper, we propose a realtime, hierarchical model to recognize both simple gestures and complex activities using a wireless body sensor network.  ...  The computation is done recursively until the end of the sensor data stream. The entire process is described in Algorithm 1.  ... 
doi:10.1109/rtcsa.2010.19 dblp:conf/rtcsa/WangGCTL10 fatcat:4d3lvvg2izffbasyq746ojt67m

Feasibility of Complex Operations on Real Time Data Stream at On-Surface Body Sensor for Ubiquitous HealthCare

Chetna Laroiya, Vijay Bhushan
2017 International Journal of Computer Applications  
Can we have an Intelligent Applications in HealthCare (with knowledge base and inference engine) which can work on real time data stream initiating at sensor.  ...  sensor data stream (based on joint conditional probability) (iii) simulation of above code to compare (CPU time, elapsed time, communication time, communication energy) its execution at sensor with one  ...  Either body sensor with UI or the AP at one hop distance from the sensor device (in case of sensor without UI) is used to invoke for real time sensor data stream analysis.  ... 
doi:10.5120/ijca2017914134 fatcat:6lkw3repczadxpewevljw5ijg4

An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients

H. Han, H.C. Ryoo, H. Patrick
2006 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)  
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients.  ...  Stream data mining, fusion, and management provide efficient ways to increase data utilization and to support knowledge discovery, which can be utilized in many clinical areas to improve the quality of  ...  Stream data management and warehousing The archive in Figure 1 stores raw stream data from bedside monitors and is used to backup all patient sensor data for recovery.  ... 
doi:10.1109/cbms.2006.39 dblp:conf/cbms/HanRP06 fatcat:s3ilfpclbbfvnhidxfcs2bj67i

Enhancing Internet and Distributed Computing Systems with Wireless Sensor Networks

Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Mohammad Mehedi Hassan, Antonio Liotta
2015 International Journal of Distributed Sensor Networks  
Acknowledgment Finally, we would like also to thank the anonymous reviewers who reviewed the seven papers by providing constructive feedback useful to improve the quality of the final papers.  ...  Using the architecture, an elastic streaming engine is also developed based on popular large-scale distributed computing platform called SPARK.  ...  The emergence of low-cost, wireless sensor platforms, along with cloud computing and big data, is leading wireless sensor networks (WSNs) as an enabling technology for Internet-based computing.  ... 
doi:10.1155/2015/564695 fatcat:rctaojnxwrdhziglril243dhpu

WhoLoDancE: Deliverable 3.4 - Report on multimodal signal modelling

Stefano Piana, Antonio Camurri
2017 Zenodo  
This deliverable serves to summarize the input devices, data formats and methodologies adopted in the process of developing algorithms, software modules and applications for movement principle and qualities  ...  Section 1 introduces the report and lists its objectives whereas Section 2 gives an overview of the data capture systems that are used in the context of the project; in particular, a description of professional  ...  , mp4, etc.). • RAW data streams coming from sensors: these streams can contain data captured by IMU, physiological and/or other kind of sensors, in this case, for the real-time processing, each sensor  ... 
doi:10.5281/zenodo.1135180 fatcat:57ttor33krgp5m2qbwtp7xe3iu

Wearable Computing

Daniel Roggen, Stéphane Magnenat, Markus Waibel, Gerhard Tröster
2011 IEEE robotics & automation magazine  
Processing steps used to infer activities from on-body sensors. The raw sensor data are mapped to the occurrence of action primitive (events) with signal processing and machine-learning techniques.  ...  Meaning is attributed to the sensor data streams by comparing them to known activity prototypes. This is realized by streaming signal processing and machine-learning techniques.  ... 
doi:10.1109/mra.2011.940992 fatcat:pkfiwns5pbhm3aykxqh532nr34

Wearable networked sensing for human mobility and activity analytics: A systems study

Bo Dong, Subir Biswas
2012 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012)  
Impacts of energy consumption by the on-body sensors are analyzed in terms of activity detection accuracy for out-of-body processing.  ...  Impacts of limited processing abilities in the on-body scenario are also characterized in terms of detection accuracy, by varying the background processing load in the sensor units.  ...  For out-of-body, all sensor data is wirelessly collected to an out-of-body machine which is used for the analysis.  ... 
doi:10.1109/comsnets.2012.6151376 pmid:25530911 pmcid:PMC4269838 dblp:conf/comsnets/DongB12 fatcat:774plant7rcslmcphfdrd4hywa

HiFiA Unified Architecture for High Fan-in Systems (System Demonstration) [chapter]

O COOPER, A EDAKKUNNI, M FRANKLIN, W HONG, S JEFFERY, S KRISHNAMURTHY, F REISS, S RIZVI, E WU
2004 Proceedings 2004 VLDB Conference  
We demonstrate an initial prototype of HiFi that uses data stream query processing to acquire, filter, and aggregate data from multiple devices including sensor motes, RFID readers, and low power gateways  ...  networks and RFID readers and whose interior nodes consist of traditional host computers organized using the principle of successive aggregation.  ...  or other data manager is used to collect and process the sensor readings.  ... 
doi:10.1016/b978-012088469-8/50146-7 fatcat:pzp3wwau3feahcs3ivkpd3cyqi

Real Time on Bed Medical Services : A Technological Gift to the Society

Girish Talmale
2020 Bioscience Biotechnology Research Communications  
The sensor node data gets analyzed on fog nodes taking time critical actions. The healthcare data is then sent using Kafka real time streaming using Kafka pipeline.  ...  c) Real time data streaming using Kafka pipeline and d) Spark for large scale real time data processing and analytics.  ...  at fog nodes , real time streaming of data using Kafka pipeline and real time data processing and analysis of large scale healthcare cloud data using Spark.  ... 
doi:10.21786/bbrc/13.14/32 fatcat:sfgzxaeytff4rpp2bfuhkblt6q

Mining of Sensor Data in Healthcare: A Survey [chapter]

Daby Sow, Deepak S. Turaga, Michael Schmidt
2012 Managing and Mining Sensor Data  
To reach this goal, it is essential to be able to analyze patient data and turn it into actionable information using data mining.  ...  This chapter surveys existing applications of sensor data mining technologies in healthcare.  ...  The rationale behind this architecture is to use a stream processing system for the real-time analysis of sensor data, including the pre-processing and transformation stages of the analytical data mining  ... 
doi:10.1007/978-1-4614-6309-2_14 fatcat:abmsziig6vasxag76cid4zdolq

Towards a unified system for multimodal activity spotting

Long-Van Nguyen-Dinh, Gerhard Tröster, Alberto Calatroni
2014 Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct  
Each data stream is treated uniformly through our proposed template matching WarpingLCSS to spot activities.  ...  In the existing multimodal systems for activity recognition, there is no single method to process different sensor modalities at different on-body positions.  ...  When spotting, the same process of quantization is applied to the streaming sensor data, with the cluster centroids identified during training.  ... 
doi:10.1145/2638728.2641301 dblp:conf/huc/Nguyen-DinhTC14 fatcat:zkmimhpjp5ejzpta4zpcgxjbke
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