Multi-Source Data Sensing in Mobile Personalized Healthcare Systems: Semantic Linking and Data Mining

The paper introduces an approach to collecting and mining health-related information on the patient based on sensed data from various medical devices as well as from other digitallyenabled sources. The regularly sensed data are semantically linked thus creating an additional information space-semantic layer. On the latter, a linked knowledge-rich structure-semantic network-is maintained and used to construct mobile services. The use of various medical devices and other data sources makes it possible to remotely monitor patients' vital physiological parameters and other important health-related events. It includes sensing the context of the physical environment, which is then coupled with the health state of the patient. Several patients and interested people can be virtually integrated into a group. Consequently, social methods can be used for enhancing the treatment adherence and for motivating the healthcare goals. As such, the healthcare services would have became more focused on the patients and their needs. Ultimately, the mobile healthcare moves towards the vision of At-Home Laboratory (AHL) that diminishes the necessity to visit the hospital and to directly use its facility

Active control by a mobile client of subscription notifications in smart space

Smart space supports interaction of multiple participants though information sharing. This kind of interaction is indirect and networked. For detection of changes, which come in parallel from other participants, a participant applies the subscription operation. It allows receiving notifications passively on a regular basis. Absolutely dependable delivery of notifications cannot be guaranteed in modern computing environments. In particular, wireless networks are subject of frequent faults, making the subscription operation less reliable for mobile clients in smart spaces. In this paper, we study the problem of active control by a client in receiving subscription notifications. We introduce a simple mathematical model for control the check interval for subscription notifications, which ensures client adaptation to the notification loss rate

Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment

The study presents the concept of a computationally efficient machine learning (ML) model for diagnosing and monitoring Parkinson's disease (PD) in an Internet of Things (IoT) environment using rest-state EEG signals (rs-EEG). We computed different types of entropy from EEG signals and found that Fuzzy Entropy performed the best in diagnosing and monitoring PD using rs-EEG. We also investigated different combinations of signal frequency ranges and EEG channels to accurately diagnose PD. Finally, with a fewer number of features (11 features), we achieved a maximum classification accuracy (ARKF) of ~99.9%. The most prominent frequency range of EEG signals has been identified, and we have found that high classification accuracy depends on low-frequency signal components (0-4 Hz). Moreover, the most informative signals were mainly received from the right hemisphere of the head (F8, P8, T8, FC6). Furthermore, we assessed the accuracy of the diagnosis of PD using three different lengths of EEG data (150-1000 samples). Because the computational complexity is reduced by reducing the input data. As a result, we have achieved a maximum mean accuracy of 99.9% for a sample length (LEEG) of 1000 (~7.8 seconds), 98.2% with a LEEG of 800 (~6.2 seconds), and 79.3% for LEEG = 150 (~1.2 seconds). By reducing the number of features and segment lengths, the computational cost of classification can be reduced. Lower-performance smart ML sensors can be used in IoT environments for enhances human resilience to PD.Comment: 19 pages, 10 figures, 2 table

User presence detection based on tracking network activity in smartroom

The SmartRoom system provides a set of services for assisting collaborative activity when many participants are physically present in the same room. The SmartRoom service intelligence is due to the use of diverse sources of information on ongoing activity. One promising source is information on user presence and network activity of the participants. In this paper, we consider the problem of utilizing such an information source for smart spaces based on the Smart-M3 platform. We employ the Innorange technology, which is one of the many examples for passive radio detection in WLAN. We define scenarios with this information source for use in SmartRoom services. We propose an integration solution oriented to Smart- M3 applications. Our software prototype is integrated into the SmartRoom system. Experimental study confirms the feasibility and reasonable performance of the proposed solution

Mobile multi-service smart room client: Initial study for multi-platform development

Smart Room provides a service set to automate such research and educational activity as conferences, lectures, and meetings. For human participants the services are accessible via mobile personal end-user devices. A mobile device hosts a smart room client, which registers the participant in the smart room space, shares her/his personal data and context, and accesses available services in the room. This paper reports recent progress of the smart room client development. Our key objectives are (1) development unification for various mobile platforms, where Windows Phone and Symbian are our reference cases; (2) support in the user interface of personalized access to the important services from a large set. Our initial study shows that objective (1) is an architecture design issue and our multi-platform development is based on tradeoffs between native mechanisms and portable solutions. We achieve objective (2) using HTML5 features, supported by many modern mobile platforms

Development of smart room services on top of Smart-M3

SmartRoom is a system supporting collaboration activities localized in a room: a set of digital services is available for organizers and participants. The Smart-M3 platform is used to set up a networked knowledge sharing environment on top of which the SmartRoom service set is deployed. In this paper we introduce the methodology and design of the SmartRoom system. We consider realization of digital environment in a room, service set structure and corresponding Smart-M3 based computing infrastructure, ontological models and their use for service construction and delivery

Sensors in a smart room: Preliminary study

Petrozavodsk State University (PetrSU) has started development of smart rooms aiming at making the PetrSU educational and research processes of a higher automation and quality level. An important component of such rooms is sensors, which allow monitoring the current physical environment state. This paper reports our work-in-progress results on sensor use in PetrSU smart rooms. First, we selected classes of sensors for use in PetrSU smart rooms. Second, we introduce an ontological model for representing sensor-related data in smart spaces. Third, we propose an architectural Smart-M3-based solution for connecting sensors to the smart room space. We also discuss basic scenarios with sensing data that we plan to implement in the smart room

Data Interleaving for Congestion Reduction in Mobile Traffic Transmission

In mobile traffic transmission networks, the limited allotted spectrum-involving voice communication and data communication-is faced with the problem of limited bandwidth and consequent traffic congestion. The problem leads to poor communication services like incomplete calls, call drops, slower Internet speed, higher cost of internet service, and other undesirable effects by the service providers. The bandwidth saturation and congestion conundrum still remains critical research area, especially with emerging multitude of edge and intermediate Internet devices. Due to introduction of fog computing such devices become active participants of mobile traffic transmission. In this paper, we consider the Data Interleaving Technique in Mobile Communication (DITMC) and introduce the DITMC-based methodology for reducing the data traffic congestion and bandwidth saturation in GSM networks. The methodology is supported with an Erlang formula model, and our simulation experiments indicate the efficiency. We show that the use of methodology can be extended to other Internet problems like multi-path routing of data streams, active subscription control in smart spaces, and possibility to delegate supplementary processing to edge devices

Event recording in Smart Room

Activity tracking in smart space applications allows extending the applications with new features, such as automated generation of activity reports. In this paper we present a generic system - Event Recorder - that potentially can be used with any smart space application. We consider a particular case for Event Recorder: tracking events and producing summary reports of the activity held in Smart Room. The contribution of this study includes use case scenario and ontological representation model of Event Recorder, integration scheme of Event Recorder into the Smart Room system, and evaluation of appropriate visual formats for summary reports

Enhancing the smartroom system with e-tourism services

The SmartRoom system is a service-oriented application for assisting such collaboration activity as conference or meeting in a room equipped with computing and presentational devices and Internet access. The development is open source and based on the Smart-M3 platform. In this paper, we consider advanced scenarios for SmartRoom to enhance the latter with e- Tourism services. We introduce a smart space based architecture for this enhancement. We provide an ontology for representing and sharing the tourism-related information for service construction. Based on the architecture and ontology, several case study services are designed. In particular, we implement a service for collaborative construction of a social program for conference participants. The implemented service is integrated into the SmartRoom system and demonstrates the feasibility of the proposed design