Academic literature on the topic 'Smart home extensions'
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Journal articles on the topic "Smart home extensions"
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Brink, Michiel, Ignacio González Alonso, and Johanna E. M. H. van Bronswijk. "Assessing Smart-Home Platforms for Ambient Assisted Living (AAL)." International Journal of Ambient Computing and Intelligence 5, no. 4 (October 2013): 25–44. http://dx.doi.org/10.4018/ijaci.2013100103.
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Smart-home platforms support applications, services, and devices for Ambient Assisted Living (AAL). The developers of those platforms commonly focus on technological requirements only, without having a clear understanding of end-users such as older adults living independently. Moreover, since there are no functional testing methods for AAL platforms, the authors introduce a testing methodology for smart-home platforms and use it to test two platforms for their suitability: the universAAL platform that is based on an ontology model, and the ‘Universal Plug and Play' (UPnP) platform in combination with ‘Digital Home Compliant' (DHC) framework (first version), both using fixed terminology and descriptions. The authors first developed a comprehensive overview the support older people may need from a smart home. The authors then developed scenarios that cover many of those needs and used the scenarios as test cases in functional tests in a simulation environment. The results show that 4/5 of the smart-home applications in the AAL scenarios will not work without a platform extension. This demonstrates the importance of these extensions. Therefore, the use of an ontology model for platforms is advisable because of its quick and easy adaption to new devices and services, needed for the worldwide rollout of smart-homes for AAL.
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Xie, Feng, Ming Hou Wu, Zhen Rong Zhang, and Zhi Hui Ge. "Implementation of Smart Home Terminal Based on OpenWrt." Applied Mechanics and Materials 519-520 (February 2014): 516–19. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.516.
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With the advances in technology and the quality of life, the family of the growing number and variety of terminals, a demand that automatic networking, shared resources, interconnected and mutual control and for users of home network is growing. This paper aims to design and implement an intelligent terminal with OpenWrt system based on Linux. The terminal is a gateway which has router management control functions, and load and run the compiled modules based on OpenWrt SDK in OpenWrt routing system. The intelligent terminal has completed a preliminary functional tests can be run in real network environments. The terminal will do as a prototype for future improvements and extensions of the home gateway.
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Chu, Yen-Cheng, Yun-Jie Jhang, Tsung-Ming Tai, and Wen-Jyi Hwang. "Recognition of Hand Gesture Sequences by Accelerometers and Gyroscopes." Applied Sciences 10, no. 18 (September 18, 2020): 6507. http://dx.doi.org/10.3390/app10186507.
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The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by accelerometers and gyroscopes. They are the extensions from the PairNet, which is a Convolutional Neural Network (CNN) capable of carrying out simple pairing operations with low computational complexities. Three different types of feedforward NNs, termed Residual PairNet, PairNet with Inception, and Residual PairNet with Inception are proposed for the extension. They are the PairNet operating in conjunction with short-cut connections and/or inception modules for achieving high classification accuracy and low computation complexity. A prototype system based on smart phones for remote control of home appliances has been implemented for the performance evaluation. Experimental results reveal that the PairNet has superior classification accuracy over its basic CNN and Recurrent NN (RNN) counterparts. Furthermore, the Residual PairNet, PairNet with Inception, and Residual PairNet with Inception are able to further improve classification hit rate and/or reduce recognition time for hand gesture recognition.
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Thiele, S., A. Häber, A. Winter, and T. Nitzsche. "Communication Architecture for AAL." Methods of Information in Medicine 53, no. 03 (2014): 167–72. http://dx.doi.org/10.3414/me13-02-0010.
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SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Using Data from Ambient Assisted Living and Smart Homes in Electronic Health Records”.Background: Concepts of Ambient Assisted Living (AAL) support a long-term health monitoring and further medical and other services for multi-morbid patients with chronic diseases. In Germany many AAL and telemedical applications exist. Synergy effects by common agreements for essential application components and standards are not achieved.Objectives: It is necessary to define a communication architecture which is based on common definitions of communication scenarios, application components and communication standards.Methods: The development of a communication architecture requires different steps. To gain a reference model for the problem area different AAL and telemedicine projects were compared and relevant data elements were generalized. The derived reference model defines standardized communication links.Results: As a result the authors present an approach towards a reference architecture for AAL-communication. The focus of the architecture lays on the communication layer. The necessary application components are identified and a communication based on standards and their extensions is highlighted.Conclusion: The exchange of patient in -dividual events supported by an event classification model, raw and aggregated data from the personal home area over a tele-medicine center to health care providers is possible.
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Petrellis, Nikos, Michael Birbas, and Fotios Gioulekas. "On the Design of Low-Cost IoT Sensor Node for e-Health Environments." Electronics 8, no. 2 (February 2, 2019): 178. http://dx.doi.org/10.3390/electronics8020178.
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The proliferation of Internet of Things (IoT) devices for patient monitoring has gained much attention in clinical care performance, proficient chronic disease management, and home caregiving. This work presents the design of efficient medical IoT sensor nodes (SNs) in terms of low-cost, low power-consumption, and increased data accuracy based on open-source platforms. The method utilizes a Sensor Controller (SC) within the IoT SN, which is capable of performing medical checks supporting a broad coverage of medical uses. A communication protocol has been developed for data and command exchange among SC, local gateways, and physicians’ or patients’ mobile devices (tablets, smart phones). The SC supports moving average window (MAW) and principle component analysis (PCA) filtering algorithms to capture data from the attached low-cost body sensors of different sampling profiles. Significant extensions in SN’s portability is achieved through energy consumption minimization based on the idle time gaps between sensors’ activations. SN’s components are either deactivated or set to low activity operation during these idle intervals. A medical case study is presented and the evaluated results show that the proposed SN can be incorporated into e-health platforms since it achieves comparable accuracy to its certified and high-cost commercial counterparts.
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Ai, Songpu, Antorweep Chakravorty, and Chunming Rong. "Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures." Sensors 19, no. 3 (February 10, 2019): 721. http://dx.doi.org/10.3390/s19030721.
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The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local storage. It is required to establish a home energy management system (HEMS) to efficiently integrate and manage household energy micro-generation, consumption and storage, in order to realize decentralized local energy systems at the community level. Domestic power demand prediction is of great importance for establishing HEMS on realizing load balancing as well as other smart energy solutions with the support of IoT techniques. Artificial neural networks with various network types (e.g., DNN, LSTM/GRU based RNN) and other configurations are widely utilized on energy predictions. However, the selection of network configuration for each research is generally a case by case study achieved through empirical or enumerative approaches. Moreover, the commonly utilized network initialization methods assign parameter values based on random numbers, which cause diversity on model performance, including learning efficiency, forecast accuracy, etc. In this paper, an evolutionary ensemble neural network pool (EENNP) method is proposed to achieve a population of well-performing networks with proper combinations of configuration and initialization automatically. In the experimental study, power demand predictions of multiple households are explored in three application scenarios: optimizing potential network configuration set, forecasting single household power demand, and refilling missing data. The impacts of evolutionary parameters on model performance are investigated. The experimental results illustrate that the proposed method achieves better solutions on the considered scenarios. The optimized potential network configuration set using EENNP achieves a similar result to manual optimization. The results of household demand prediction and missing data refilling perform better than the naïve and simple predictors.
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Yang, Heetae, Hwansoo Lee, and Hangjung Zo. "User acceptance of smart home services: an extension of the theory of planned behavior." Industrial Management & Data Systems 117, no. 1 (February 6, 2017): 68–89. http://dx.doi.org/10.1108/imds-01-2016-0017.
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Purpose The purpose of this paper is to develop a comprehensive research model that can explain potential customers’ behavioral intentions to adopt and use smart home services. Design/methodology/approach This study proposes and validates a new theoretical model that extends the theory of planned behavior. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 216 survey samples. Findings Mobility, security/privacy risk, and trust in the service provider are important factors affecting the adoption of smart home services. Practical implications To increase potential users’ adoption rate, service providers should focus on developing mobility-related services that enable people to access smart home services while on the move using mobile devices via control and monitoring functions. Originality/value This study is the first empirical attempt to examine user acceptance of smart home services, as most of the prior literature has concerned technical features.
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Kang, Hyo-Jin, Jieun Han, and Gyu Hyun Kwon. "Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses." Journal of Medical Internet Research 23, no. 1 (January 21, 2021): e19625. http://dx.doi.org/10.2196/19625.
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Background With the rapid development of information and communication technologies, smart homes are being investigated as effective solutions for home health care. The increasing academic attention on smart home health care has primarily been on the development and application of smart home technologies. However, comprehensive studies examining the general landscape of diverse research areas for smart home health care are still lacking. Objective This study aims to determine the intellectual structure of smart home health care in a time series by conducting a coword analysis and topic analysis. Specifically, it investigates (1) the intellectual basis of smart home health care through overall academic status, (2) the intellectual foci through influential keywords and their evolutions, and (3) intellectual trends through primary topics and their evolutions. Methods Analyses were conducted in 5 steps: (1) data retrieval from article databases (Web of Science, Scopus, and PubMed) and the initial dataset preparation of 6080 abstracts from the year 2000 to the first half of 2019; (2) data preprocessing and refinement extraction of 25,563 words; (3) a descriptive analysis of the overall academic status and period division (ie, 4 stages of 3-year blocks); (4) coword analysis based on word co-occurrence networks for the intellectual foci; and (5) topic analysis for the intellectual trends based on latent Dirichlet allocation (LDA) topic modeling, word-topic networks, and researcher workshops. Results First, regarding the intellectual basis of smart home health care, recent academic interest and predominant journals and research domains were verified. Second, to determine the intellectual foci, primary keywords were identified and classified according to the degree of their centrality values. Third, 5 themes pertaining to the topic evolution emerged: (1) the diversification of smart home health care research topics; (2) the shift from technology-oriented research to technological convergence research; (3) the expansion of application areas and system functionality of smart home health care; (4) the increased focus on system usability, such as service design and experiences; and (5) the recent adaptation of the latest technologies in health care. Based on these findings, the pattern of technology diffusion in smart home health care research was determined as the adaptation of technologies, the proliferation of application areas, and an extension into system design and service experiences. Conclusions The research findings provide academic and practical value in 3 aspects. First, they promote a comprehensive understanding of the smart home health care domain by identifying its multifaceted intellectual structure in a time series. Second, they can help clinicians discern the development and dispersion level of their respective disciplines. Third, the pattern of technology diffusion in smart home health care could help scholars comprehend current and future research trends and identify research opportunities based on upcoming research waves of newly adapted technologies in smart home health care.
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Ghayvat, Hemant, Subhas Mukhopadhyay, Xiang Gui, and Nagender Suryadevara. "WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings." Sensors 15, no. 5 (May 4, 2015): 10350–79. http://dx.doi.org/10.3390/s150510350.
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Niharika, M. "Home Automation with Intruder Detection and Energy Control." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3473–80. http://dx.doi.org/10.22214/ijraset.2021.35816.
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In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.
Dissertations / Theses on the topic "Smart home extensions"
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Christiaens, Steven A. "Evaluating the Security of Smart Home Hubs." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5631.
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The goal of this research is to improve the security of smart home hubs by developing a standard against which hubs can be evaluated. This was done by first reviewing existing standards, guides, and collections of best practices. I determined that adapting or extending an existing standard was the best way to proceed. Potential candidates were selected, and after thorough comparison, I chose to extend the OWASP Application Security Verification Standard (ASVS). Extensions were composed of additional security requirements to address smart home hub functionality not covered by the existing requirements of the ASVS. These additional requirements were developed based upon existing best practices and are referred to as the Smart Home Extensions. Where a best practice or guidance did not yet exist for a particular hub functionality, guidance from related fields was adapted. The entire set of Smart Home Extensions were reviewed by industry experts, updated based on feedback, and then sent on for further peer review. Four smart home hubs – VeraLite, Wink, Connect, and SmartThings – were evaluated using the ASVS with the Smart Home Extensions. The evaluation uncovered security vulnerabilities in all four hubs, some previously disclosed by other researchers, and others new. Analysis of the evaluation data suggests that authentication is a common problem area, among others. Based on the performance of the hubs and the data collected, I suggest that the ASVS and Smart Home Extensions can be an effective tool to provide insight into the security posture of smart home hubs.
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Yu-ChenLin and 林禹辰. "An Extension of the USDL Model for Describing Robot Services and Device Services in Smart Home." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/67920977571094669791.
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碩士國立成功大學
工程科學系
103
This thesis proposes an extension of the unified service description language (USDL) model in order to better describe smart home services. USDL has several advantages such as a business perspective, low semantic and defined input/output interface. However, the USDL is web-based and does not have the ability to describe hardware device properties, which greatly affect smart home services, as most of these are provided by real devices. Device descriptions should thus be added to the USDL model. In addition, smart home services are further categorized into web services, device services and robot services. The attributes of each service type are defined and discussed in this work. To further look into the concept of the extended USDL model, a prototype system based on the OSGi middleware is designed and implemented. An example scenario named “medicine intake detection” is built to demonstrate the use of the extended USDL model. The scenario consists of a device service and a web service, and the interoperation between these. It is achieved by using their service descriptions. The proposed extended USDL model has been evaluated and compared with other service description languages. Based on this comparison, the proposed extended USDL model is better at supporting a smart home system with the ability to abstract heterogeneous hardware devices and hardware interfaces.
Book chapters on the topic "Smart home extensions"
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Katondo, Richard J. M., and Agnes M. S. Nyomora. "The role of ecosystem services in enhancing climate change resilience of local communities: the case of Ngarambe-Tapika Wildlife Management Area, Rufiji district, Tanzania." In Climate change impacts and sustainability: ecosystems of Tanzania, 169–79. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0169.
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Abstract This study examined the role of ecosystem services in enhancing climate change resilience of local communities in Ngarambe-Tapika Wildlife Management Area (WMA). The study aimed to identify forms of ecosystem services that can be gained from conservation of a WMA in relation to climate change adaptation. The design for this study adopted both a quantitative and a qualitative research approach. The study was undertaken in Ngarambe-Tapika WMA located between latitude 39° S and 39°30' S and between longitude 12°30' E and 13° E. It is located alongside the north-eastern border of the Selous Game Reserve. The area is also the home of local people whose lifestyles and livelihoods are intricately tied to the biological diversity and the functioning of this natural system. Purposive sampling was employed in selecting respondents for the household questionnaire, focus group discussions and key informant interviews. This study found that income obtained from Ngarambe-Tapika ecosystems by the communities were invested in material welfare and livelihoods that enhance resilience to climate change, primarily social services (54.9%) such as construction of houses, dispensaries and rehabilitation of the primary schools, and some of the money was spent on electricity provision for the community and energy for light and water pumps. Other benefits included employment (16.5%), protection from dangerous and problematic wildlife (14.3%) and petty business (14.3%). Generally, in Ngarambe-Tapika WMA there is a need to emphasize conservation awareness and extension programmes which advocate sustainable utilization of wildlife resources, and adopt an integrated approach of climate-smart agriculture to address the challenges related to food insecurity and climate change and variability. The latter would enable increased agricultural productivity to support equitable increases in farm incomes, improve food security and build resilience of agricultural and food security systems to adapt to climate change and variability.
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Zgank, Andrej, and Damjan Vlaj. "Acoustic Presence Detection in a Smart Home Environment." In Encyclopedia of Information Science and Technology, Fifth Edition, 138–53. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3479-3.ch011.
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The chapter presents acoustic presence detection, which can be applied to support the smart home system with information about the presence of humans in the environment. The acoustic presence detection is based on digital signal processing and machine learning methods, with the objective to classify the captured audio signal into the corresponding class. An analysis of different audio capturing devices for a smart home environment from the perspective of acoustic presence detection will be carried out. The presence detection task consists of voice activity detection, feature extraction, and classification. The extension of acoustic presence detection with additional information about the user's characteristics is proposed. This information can be used to optimize the smart home human-computer interface with personalization and customization functionalities.
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Minh, Vu Trieu, Mart Tamre, Aleksei Safonov, Victor Musalimov, Pavel Kovalenko, and Iurii Monakhov. "Design and Implementation of a Smart Mechatronic Elbow Brace." In Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics, 1–18. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0137-5.ch001.
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This project develops a design and implementation of a smart mechatronic brace used as a rehabilitation device for elbow injury patients training their bone ligaments and muscles, and recovering at home. The proposed brace is designed to be low cost and to fit large different users since it is able to be regulated and combined with reliable mechanical and electronic parts, and to correspond to high safety requirements. Electromyography (EMG) sensors are used above the skin to measure the biopotential signals from the muscles to detect the human motion intention, and then, to recognize the flexion/extension movement. Data of the human motion intention and direction are processed and converted into the pulse-width modulation signals (PWM) to run DC motors. A prototype for this brace is fabricated and tested with real human motion intentions and directions. The DC motors can follow well the human motions with the error of less than 70 over a moving angle of 1200.
Conference papers on the topic "Smart home extensions"
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Petelj, Boris, Milan Pandurov, Dejan Stefanovic, and Istvan Papp. "Web based solution for smart home functionality extension and control." In 2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin). IEEE, 2015. http://dx.doi.org/10.1109/icce-berlin.2015.7391278.
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Baligar, Shrishail, Ashish Sabade, Sagar Gurtu, and Chinmay Joshi. "A QOS-aware secure personal cloud storage with ubiquitous access and smart home extension." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375732.
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