Developing and Evaluating Mobile Sensing for Smart Home Control

Many of researches in controlling smart home system have been proposed. Most of previous approaches in controlling smart home system requires interventions and commands from user. This paper propose a system about smart home based on mobile sensing that does not requires interventions and commands from the user. Mobile Sensing is used to records daily routine activities of the user. Then the system automatically gives a response to user based on his/her daily routine activities. We have implemented our approach to demonstrate the feasibility and effectiveness of using mobile sensing for controlling smart home system. Furthermore, we evaluate our approach and present the details in this paper.

[1]  S. Sprager,et al.  A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine , 2009 .

[2]  Dae-Man Han,et al.  Design and implementation of smart home energy management systems based on zigbee , 2010, IEEE Transactions on Consumer Electronics.

[3]  Antonio F. Gómez-Skarmeta,et al.  An Integral and Networked Home Automation Solution for Indoor Ambient Intelligence , 2010, IEEE Pervasive Computing.

[4]  Shie Mannor,et al.  Activity and Gait Recognition with Time-Delay Embeddings , 2010, AAAI.

[5]  Christoph Busch,et al.  Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[6]  Dominique Guinard,et al.  Embedding internet technology for home automation , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[7]  Christian R. Prause,et al.  The Energy Aware Smart Home , 2010, 2010 5th International Conference on Future Information Technology.

[8]  R. Piyare,et al.  Bluetooth based home automation system using cell phone , 2011, 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE).

[9]  Teddy Mantoro,et al.  Recognizing user activity based on accelerometer data from a mobile phone , 2011, 2011 IEEE Symposium on Computers & Informatics.

[10]  Nicolae Tapus,et al.  Home automation design using 6LoWPAN wireless sensor networks , 2011, 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS).

[11]  Behrooz Shirazi,et al.  Home automation and security for mobile devices , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[12]  Christoph Busch,et al.  Classifying accelerometer data via Hidden Markov Models to authenticate people by the way they walk , 2011, 2011 Carnahan Conference on Security Technology.

[13]  Marios Savvides,et al.  Gait-ID on the move: Pace independent human identification using cell phone accelerometer dynamics , 2012, 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[14]  V. Groza,et al.  Sensor based home automation and security system , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[15]  A. Govardhan,et al.  Reputation Aware Reliable Distributed Grid Scheduler for Mixed Tasks , 2012 .

[16]  Yin Chen,et al.  FM-based indoor localization , 2012, MobiSys '12.

[17]  Per Zetterberg,et al.  WiFi fingerprint indoor positioning system using probability distribution comparison , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[18]  Ali Fahmi,et al.  Hey Home, Open Your Door, I'm Back! Authentication System using Ear Biometrics for Smart Home , 2013 .

[19]  G. S. Gupta,et al.  Wireless sensor network based smart home: Sensor selection, deployment and monitoring , 2013, 2013 IEEE Sensors Applications Symposium Proceedings.

[20]  Ramón F. Brena,et al.  Location Identification Using a Magnetic-field-based FFT Signature , 2013, ANT/SEIT.

[21]  Michel Vacher,et al.  Experimental Evaluation of Speech Recognition Technologies for Voice-based Home Automation Control in a Smart Home , 2013, SLPAT.

[22]  Deokjai Choi,et al.  Battery-Less 6LoWPAN-Based Wireless Home Automation by Use of Energy Harvesting , 2013, Int. J. Distributed Sens. Networks.

[23]  Andrew G. Dempster,et al.  Using Geomagnetic Field for Indoor Positioning , 2013 .

[24]  Mohd Azlishah Othman,et al.  Bluetooth Remote Home Automation System Using Android Application , 2013 .

[25]  Sven Zeisberg,et al.  Enabling Mobile Devices for Home Automation Using ZigBee , 2013, 2013 19th International Conference on Control Systems and Computer Science.

[26]  Qi Hao,et al.  A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation , 2013, J. Sens. Actuator Networks.

[27]  Ramón F. Brena,et al.  Magnetic Field Feature Extraction and Selection for Indoor Location Estimation , 2014, Sensors.

[28]  G Sankar,et al.  Resistive Touch Screen Based Home Automation System Design , 2014 .

[29]  Rajesh Kumar,et al.  Context-Aware Active Authentication Using Smartphone Accelerometer Measurements , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

[30]  Changseok Bae,et al.  Unsupervised learning for human activity recognition using smartphone sensors , 2014, Expert Syst. Appl..

[31]  Anant Vaibhav,et al.  Raspberry Pi based interactive home automation system through E-mail , 2014, 2014 International Conference on Reliability Optimization and Information Technology (ICROIT).

[32]  J. L. Fernandez,et al.  An integrated and low cost home automation system with flexible task scheduling , 2014 .

[33]  N. Sendhil Kumar,et al.  HOME AUTOMATION AND SECURITY SYSTEM USING ANDROID ADK , 2015 .

[34]  Deokjai Choi,et al.  Awareness Home Automation System Based on User Behavior through Mobile Sensing , 2015 .