Using distributed feature detection for an assistive work system

Kistel, Thomas; Wendlandt, Ole; Vandenhouten, Ralf

doi:10.1109/smc.2014.6974179

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…The system implementation uses a mobile application; however, our society is moving towards more natural and ubiquitous HCI. Other systems discussed [34,36] in Section 2, have already adapted the notion of augmented reality to overlay instructions on the camera or use natural gesture-/voice-based HCI. In comparison to the SMART system implementations and other systems discussed in Section 2, mainly have a web-browser based interface, this may limit the client devices from further utilization, unlike with mobile devices with embedded sensor capabilities to collect meaningful and contextual data.…”

Section: Discussionmentioning

confidence: 99%

“…For example, the assistive system [33] enables remote assistance and monitoring between the hospital and the clients' SH environment. Another study [34] proposed an SOA-style architecture involving a mobile device and a web service to detect objects in real-time by using image analysis techniques and augmenting the assistance on the user's tablet; here, a datadriven approach is employed through which images in the database are analyzed. Meanwhile, the work in [35] adapts the knowledge-driven approach to propose a multi-tier architecture for an autonomic Ambient Intelligent system.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Triboan

Chen

et al. 2016

Tinshhua Sci. Technol.

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With the growing aging population, age-related diseases have increased considerably over the years.In response to these, ambient assistive living (AAL) systems are being developed and are continually evolving to enrich and support independent living. While most researchers investigate robust activity recognition (AR) techniques, this paper focuses on some of the architectural challenges of the AAL systems. This work proposes a system architecture that fuses varying software design patterns and integrates readily available hardware devices to create wireless sensor networks for real-time applications. The system architecture brings together the serviceoriented architecture (SOA), semantic web technologies, and other methods to address some of the shortcomings of the preceding system implementations using off-the-shelf and open source components. In order to validate the proposed architecture, a prototype is developed and tested positively to recognize basic user activities in real time.The system provides a base that can be further extended in many areas of AAL systems, including composite AR.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Triboan

Chen

et al. 2016

Tinshhua Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…For example the assistive system [28] enables remote assistance and monitoring between the hospital and the clients smart home environment. The work in [29], proposes a SOA style architecture involving a mobile device and a web service to detect objects in real-time using images analysis techniques and augmenting the assistance on the user's tablet; a data-driven approach where the database of images are analysed. Whilst the work in [30], adapts the knowledge-driven approach to propose a multi-tier architecture for an autonomic Ambient Intelligent system.…”

Section: A Challenges and Opportunitiesmentioning

confidence: 99%

“…Other systems discussed [29,31] in section II, have already adapted the notion of Augmented Reality(AR) to overlay instructions on the camera or use natural gesture/voice based HCI. In comparison to the SMART system implementations and other systems discussed in section II, mainly have a web-browser based interface.…”

Section: E Evaluationmentioning

confidence: 99%

Towards a Mobile Assistive System Using Service-Oriented Architecture

Triboan

Chen

2016

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)

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As the aging population grows, age-related diseases show a cohesive increase. Ambient Assistive Living (AAL) systems are being developed and are continually evolving in various areas. While most researchers focus on robust Activity Recognition techniques, this paper investigates some of the architectural challenges of the AAL systems. This study proposes a new system architecture that brings together the service-oriented architecture (SOA), Semantic Web technologies and other methods to address some of the shortfalls in the predecessor system implementations using off-the-shelf and open source components. A partial system implementation is then presented using the proposed system architecture. The system takes some of the key design aspects such as extensibility, reusability, scalability, and maintainability into consideration that can then be seen as a base to further extend the capability of monitoring, collecting, processing and accurately recognising complex or concurrent activities in its overall aim to support assistive living.

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Real-Time FPGA-Based Detection of Speeded-Up Robust Features Using Separable Convolution

Čížek

Faigl

2018

IEEE Trans. Ind. Inf.

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Using distributed feature detection for an assistive work system

Cited by 3 publications

References 8 publications

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Towards a service-oriented architecture for a mobile assistive system with real-time environmental sensing

Towards a Mobile Assistive System Using Service-Oriented Architecture

Real-Time FPGA-Based Detection of Speeded-Up Robust Features Using Separable Convolution

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