iKey: An Intelligent Key System Based on Efficient Inclination Angle Sensing Techniques

The elderly may have different aspects of inconvenience in their daily life. Among them, many old people have trouble remembering things even just happened hours ago. They often forget whether they have locked the door while leaving so that they may have to return and check. Such situation also happens to many younger people that do not concentrate their mind while locking the door. In this paper, an intelligent key system, iKey, is proposed to solve such problem. It can be deployed on an existing key to detect user’s locking actions and store locking status in the form of time. Related hardware architecture and working process are proposed. The sensing module based on inclination angle sensors is designed to reduce the amount of data generated. Furthermore, efficient locking detection algorithms are proposed accordingly. Such system and techniques can also be applied in knobs or rotating handles of machines and facilities to detect illegal operations and to avoid user’s forgetting to operate them.

[1]  Gary Steri,et al.  Privacy leakages in Smart Home wireless technologies , 2014, 2014 International Carnahan Conference on Security Technology (ICCST).

[2]  W. Sanderson,et al.  The coming acceleration of global population ageing , 2008, Nature.

[3]  Eamonn J. Keogh,et al.  Scaling up dynamic time warping for datamining applications , 2000, KDD '00.

[4]  Zhipeng Cai,et al.  A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems , 2020, IEEE Transactions on Network Science and Engineering.

[5]  Zhipeng Cai,et al.  FakeMask: A Novel Privacy Preserving Approach for Smartphones , 2016, IEEE Transactions on Network and Service Management.

[6]  Yingshu Li,et al.  Data Linkage in Smart Internet of Things Systems: A Consideration from a Privacy Perspective , 2018, IEEE Communications Magazine.

[7]  Wei Li,et al.  Distributed Auctions for Task Assignment and Scheduling in Mobile Crowdsensing Systems , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

[8]  Yi Liang,et al.  Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices , 2018, IEEE Network.

[9]  Zhen Wang,et al.  uWave: Accelerometer-based Personalized Gesture Recognition and Its Applications , 2009, PerCom.

[10]  Xiaofeng Zhu,et al.  Efficient kNN Classification With Different Numbers of Nearest Neighbors , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[11]  Jianzhong Li,et al.  SHMDRS: A Smartphone-Based Human Motion Detection and Response System , 2016, WASA.

[12]  Kongqiao Wang,et al.  A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[13]  Justine Rochas,et al.  K Nearest Neighbour Joins for Big Data on MapReduce: A Theoretical and Experimental Analysis , 2016, IEEE Transactions on Knowledge and Data Engineering.