care HCI Security and forensics Education User authentication Deception detection Smart tutoring Teaching assistant Posture recognition Gesture detection

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the scientific community and the industry. Driven by technological advances in sensing, wireless communication, and machine learning, WMS-based systems have begun transforming our daily lives. Although WMSs were initially developed to enable low-cost solutions for continuous health monitoring, the applications of WMS-based systems now range far beyond health care. Several research efforts have proposed the use of such systems in diverse application domains, e.g., education, human-computer interaction, and security. Even though the number of such research studies has grown drastically in the last few years, the potential challenges associated with their design, development, and implementation are neither well-studied nor well-recognized. This article discusses various services, applications, and systems that have been developed based on WMSs and sheds light on their design goals and challenges. We first provide a brief history of WMSs and discuss how their market is growing. We then discuss the scope of applications of WMS-based systems. Next, we describe the architecture of a typical WMS-based system and the components that constitute such a system, and their limitations. Thereafter, we suggest a list of desirable design goals that WMS-based systems should satisfy. Finally, we discuss various research directions related to WMSs and how previous research studies have attempted to address the limitations of the components used in WMS-based systems and satisfy the desirable design goals.

[1]  Jock D. Mackinlay,et al.  A morphological analysis of the design space of input devices , 1991, TOIS.

[2]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[3]  Yoav Freund,et al.  Large Margin Classification Using the Perceptron Algorithm , 1998, COLT.

[4]  Gregory D. Abowd,et al.  The Conference Assistant: combining context-awareness with wearable computing , 1999, Digest of Papers. Third International Symposium on Wearable Computers.

[5]  M Adjouadi,et al.  A practical EMG-based human-computer interface for users with motor disabilities. , 2000, Journal of rehabilitation research and development.

[6]  Erhard Rahm,et al.  Data Cleaning: Problems and Current Approaches , 2000, IEEE Data Eng. Bull..

[7]  D. Millett Hans Berger: From Psychic Energy to the EEG , 2001, Perspectives in biology and medicine.

[8]  M. Teplan FUNDAMENTALS OF EEG MEASUREMENT , 2002 .

[9]  Mani B. Srivastava,et al.  Design of a wearable sensor badge for smart kindergarten , 2002, Proceedings. Sixth International Symposium on Wearable Computers,.

[10]  M. Horton MICA: The Commercialization of Microsensor Motes , 2002 .

[11]  Vincent Rijmen,et al.  The Design of Rijndael: AES - The Advanced Encryption Standard , 2002 .

[12]  Dakshi Agrawal,et al.  The EM Side-Channel(s) , 2002, CHES.

[13]  M. Grgic,et al.  A survey of biometric recognition methods , 2004, Proceedings. Elmar-2004. 46th International Symposium on Electronics in Marine.

[14]  Philip Robinson,et al.  Inexpensive and Automatic Calibration for Acceleration Sensors , 2004, UCS.

[15]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.

[16]  Matt Welsh,et al.  CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care , 2004 .

[17]  Matthew L. Jensen,et al.  Deception detection through automatic, unobtrusive analysis of nonverbal behavior , 2005, IEEE Intelligent Systems.

[18]  Chae Hoon Lim,et al.  mCrypton - A Lightweight Block Cipher for Security of Low-Cost RFID Tags and Sensors , 2005, WISA.

[19]  Shahram Latifi,et al.  A survey on data compression in wireless sensor networks , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[20]  Alex Pentland,et al.  Reality mining: sensing complex social systems , 2006, Personal and Ubiquitous Computing.

[21]  P. K. Chan,et al.  A CMOS analog front-end IC for portable EEG/ECG monitoring applications , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[22]  Alex Pentland,et al.  PokerMetrics: Stress and lie detection through non-invasive physiological sensing , 2005 .

[23]  Robert W. Brodersen,et al.  A 6-bit 600-MS/s 5.3-mW asynchronous ADC in 0.13-μm CMOS , 2006 .

[24]  Ing Widya,et al.  Mobihealth: mobile health services based on body area networks , 2006 .

[25]  Myung J. Lee,et al.  A lightweight encryption and authentication scheme for wireless sensor networks , 2006, Int. J. Secur. Networks.

[26]  Choong Seon Hong,et al.  Security in wireless sensor networks: issues and challenges , 2006, 2006 8th International Conference Advanced Communication Technology.

[27]  Paolo Bonato,et al.  Using wearable sensors to measure motor abilities following stroke , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[28]  Selahattin Ozcelik,et al.  Drug Infusion Systems , 2006 .

[29]  Einar Snekkenes,et al.  Gait Authentication and Identification Using Wearable Accelerometer Sensor , 2007, 2007 IEEE Workshop on Automatic Identification Advanced Technologies.

[30]  Yuan Yu,et al.  Dryad: distributed data-parallel programs from sequential building blocks , 2007, EuroSys '07.

[31]  K. Patrick,et al.  Health and the mobile phone. , 2008, American journal of preventive medicine.

[32]  Privender Saini,et al.  Philips stroke rehabilitation exerciser: a usability test , 2008 .

[33]  Timo Pylvänäinen,et al.  Automatic and adaptive calibration of 3D field sensors , 2008 .

[34]  Kevin Fu,et al.  Absence Makes the Heart Grow Fonder: New Directions for Implantable Medical Device Security , 2008, HotSec.

[35]  Richard G. Baraniuk,et al.  Compressive Sensing , 2008, Computer Vision, A Reference Guide.

[36]  Man Sang Wong,et al.  Smart garment for trunk posture monitoring: A preliminary study , 2008, Scoliosis.

[37]  Gerhard Tröster,et al.  Wearable therapist: sensing garments for supporting children improve posture , 2009, UbiComp.

[38]  Scott E. Kerick,et al.  Assessment of EEG Signal Quality in Motion Environments , 2009 .

[39]  Isao Nakanishi,et al.  EEG based biometric authentication using new spectral features , 2009, 2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

[40]  Naixue Xiong,et al.  A game-theoretic method of fair resource allocation for cloud computing services , 2010, The Journal of Supercomputing.

[41]  Kashi Venkatesh Vishwanath,et al.  Characterizing cloud computing hardware reliability , 2010, SoCC '10.

[42]  Max Mühlhäuser,et al.  Cloud Computing Landscape and Research Challenges Regarding Trust and Reputation , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[43]  Hakim Weatherspoon,et al.  RACS: a case for cloud storage diversity , 2010, SoCC '10.

[44]  Jose M. Alcaraz Calero,et al.  Toward a Multi-Tenancy Authorization System for Cloud Services , 2010, IEEE Security & Privacy.

[45]  Kyung Sup Kwak,et al.  Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications , 2010, Journal of Medical Systems.

[46]  Minlan Yu,et al.  CloudPolice: taking access control out of the network , 2010, Hotnets-IX.

[47]  Hassan Ghasemzadeh,et al.  Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing , 2010, 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

[48]  D R Bassett,et al.  Validity of the Nike+Device During Walking and Running , 2009, International journal of sports medicine.

[49]  You-Chiun Wang,et al.  Data Compression Techniques in Wireless Sensor Networks , 2010 .

[50]  Raouf Boutaba,et al.  Cloud computing: state-of-the-art and research challenges , 2010, Journal of Internet Services and Applications.

[51]  Rui Wang,et al.  Side-Channel Leaks in Web Applications: A Reality Today, a Challenge Tomorrow , 2010, 2010 IEEE Symposium on Security and Privacy.

[52]  Yong Lian,et al.  An ECG-on-Chip for Wearable Cardiac Monitoring Devices , 2010, 2010 Fifth IEEE International Symposium on Electronic Design, Test & Applications.

[53]  Yu Guo,et al.  Multi-Tenancy Based Access Control in Cloud , 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

[54]  Cem Ersoy,et al.  Wireless sensor networks for healthcare: A survey , 2010, Comput. Networks.

[55]  M. Brian Blake,et al.  Service-Oriented Computing and Cloud Computing: Challenges and Opportunities , 2010, IEEE Internet Computing.

[56]  William P. Marnane,et al.  EEG compression using JPEG2000: How much loss is too much? , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[57]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[58]  Bengt E. Jonsson,et al.  An empirical approach to finding energy efficient ADC architectures , 2011 .

[59]  V. Kavitha,et al.  A survey on security issues in service delivery models of cloud computing , 2011, J. Netw. Comput. Appl..

[60]  Shyamal Patel,et al.  A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.

[61]  Volker Markl,et al.  Big Data Analytics on Modern Hardware Architectures: A Technology Survey , 2012, eBISS.

[62]  Bettina Bläsing,et al.  Wearable Sensor-Based Real-Time Sonification of Motion and Foot Pressure in Dance Teaching and Training , 2012 .

[63]  Dermot Diamond,et al.  Concept and development of an autonomous wearable micro-fluidic platform for real time pH sweat analysis , 2012 .

[64]  Thomas B. Schön,et al.  Calibration of a magnetometer in combination with inertial sensors , 2012, 2012 15th International Conference on Information Fusion.

[65]  S. K. Vashist Non-invasive glucose monitoring technology in diabetes management: a review. , 2012, Analytica chimica acta.

[66]  Cong Wang,et al.  Security Challenges for the Public Cloud , 2012, IEEE Internet Computing.

[67]  W. Khalifa,et al.  A survey of EEG based user authentication schemes , 2012, 2012 8th International Conference on Informatics and Systems (INFOS).

[68]  Tao Liu,et al.  Gait Analysis Using Wearable Sensors , 2012, Sensors.

[69]  Roman Hovorka,et al.  Closed-loop insulin delivery in type 1 diabetes. , 2012, Endocrinology and metabolism clinics of North America.

[70]  Tsung-Heng Tsai,et al.  Low-Power Analog Integrated Circuits for Wireless ECG Acquisition Systems , 2012, IEEE Transactions on Information Technology in Biomedicine.

[71]  M. Serpelloni,et al.  Smart vest for posture monitoring in rehabilitation exercises , 2012, 2012 IEEE Sensors Applications Symposium Proceedings.

[72]  Manas Ranjan Patra,et al.  Design and Implementation of a Cloud based Rural Healthcare Information System Model , 2012 .

[73]  Damon L. Woodard,et al.  Biometric Authentication and Identification using Keystroke Dynamics: A Survey , 2012 .

[74]  Jung Kim,et al.  Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method , 2012, Comput. Biol. Medicine.

[75]  Tuck Wah Leong,et al.  Internet of things: a review of literature and products , 2013, OZCHI.

[76]  Ahmed Eldawy,et al.  NADEEF: a commodity data cleaning system , 2013, SIGMOD '13.

[77]  Rubén S. Montero,et al.  Key Challenges in Cloud Computing: Enabling the Future Internet of Services , 2013, IEEE Internet Computing.

[78]  Peter E. Clayson,et al.  How does noise affect amplitude and latency measurement of event-related potentials (ERPs)? A methodological critique and simulation study. , 2013, Psychophysiology.

[79]  Luis Miguel Bergasa,et al.  Full auto-calibration of a smartphone on board a vehicle using IMU and GPS embedded sensors , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

[80]  Chi-Chang Lu A 1.2V 10-bit 5 MS/s CMOS cyclic ADC , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

[81]  Meng Zhang,et al.  Energy-efficient and Secure Sensor Data Transmission Using Encompression , 2013, 2013 26th International Conference on VLSI Design and 2013 12th International Conference on Embedded Systems.

[82]  Carlo Curino,et al.  Apache Hadoop YARN: yet another resource negotiator , 2013, SoCC.

[83]  Andrew Beng Jin Teoh,et al.  A Survey of Keystroke Dynamics Biometrics , 2013, TheScientificWorldJournal.

[84]  Martin Gilje Jaatun,et al.  Beyond lightning: A survey on security challenges in cloud computing , 2013, Comput. Electr. Eng..

[85]  Akane Sano,et al.  Stress Recognition Using Wearable Sensors and Mobile Phones , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[86]  Bhumika Chandrakar,et al.  A SURVEY OF NOISE REMOVAL TECHNIQUES FOR ECG SIGNALS , 2013 .

[87]  Hai Jiang,et al.  MGMR: Multi-GPU Based MapReduce , 2013, GPC.

[88]  Dana Petcu,et al.  Portable Cloud applications - From theory to practice , 2013, Future Gener. Comput. Syst..

[89]  Naveen Verma,et al.  Algorithm-Driven Architectural Design Space Exploration of Domain-Specific Medical-Sensor Processors , 2013, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[90]  M. Shamim Hossain,et al.  A Survey on Sensor-Cloud: Architecture, Applications, and Approaches , 2013, Int. J. Distributed Sens. Networks.

[91]  Lei Yang,et al.  A Human ECG Identification System Based on Ensemble Empirical Mode Decomposition , 2013, Sensors.

[92]  Miguel A. Labrador,et al.  A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.

[93]  Jeremy Hilton,et al.  A Reference Model of Information Assurance & Security , 2013, 2013 International Conference on Availability, Reliability and Security.

[94]  Michael McCarthy,et al.  Experts warn on data security in health and fitness apps , 2013, BMJ : British Medical Journal.

[95]  Joshua R. Smith,et al.  Power consumption analysis of Bluetooth Low Energy, ZigBee and ANT sensor nodes in a cyclic sleep scenario , 2013, 2013 IEEE International Wireless Symposium (IWS).

[96]  Hao Liu,et al.  Wearable Physiological Sensors Reflect Mental Stress State in Office-Like Situations , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[97]  Simon A. Dobson,et al.  Compression in wireless sensor networks , 2013 .

[98]  Yacine Challal,et al.  Wireless sensor networks for rehabilitation applications: Challenges and opportunities , 2013, J. Netw. Comput. Appl..

[99]  Xingshe Zhou,et al.  Energy-Efficient Motion Related Activity Recognition on Mobile Devices for Pervasive Healthcare , 2014, Mob. Networks Appl..

[100]  Hyoungho Ko,et al.  A fully integrated electroencephalogram (EEG) analog front-end IC with capacitive input impedance boosting loop , 2014, Proceedings of the IEEE 2014 Custom Integrated Circuits Conference.

[101]  Joseph Wei,et al.  How Wearables Intersect with the Cloud and the Internet of Things : Considerations for the developers of wearables. , 2014, IEEE Consumer Electronics Magazine.

[102]  A. B. Crane,et al.  Wearable posture detection system , 2014, 2014 40th Annual Northeast Bioengineering Conference (NEBEC).

[103]  Arshad Ali,et al.  Cloud authorization: exploring techniques and approach towards effective access control framework , 2015, Frontiers of Computer Science.

[104]  Nan Tang,et al.  Big Data Cleaning , 2014, APWeb.

[105]  Jie Xu,et al.  An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment , 2014, IEEE Transactions on Emerging Topics in Computing.

[106]  Begonya Garcia-Zapirain,et al.  Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications , 2014, Sensors.

[107]  Rajkumar Buyya,et al.  Interconnected Cloud Computing Environments , 2014, ACM Comput. Surv..

[108]  N H Lovell,et al.  What Does Big Data Mean for Wearable Sensor Systems? , 2014, Yearbook of Medical Informatics.

[109]  Shahin Tajik,et al.  Multi-sensor Based Gestures Recognition with a Smart Finger Ring , 2014, HCI.

[110]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[111]  Alan F. Smeaton,et al.  LifeLogging: Personal Big Data , 2014, Found. Trends Inf. Retr..

[112]  Dilpreet Singh,et al.  A survey on platforms for big data analytics , 2014, Journal of Big Data.

[113]  Jo Woon Chong,et al.  Photoplethysmograph Signal Reconstruction based on a Novel Motion Artifact Detection-Reduction Approach. Part II: Motion and Noise Artifact Removal , 2014, Annals of Biomedical Engineering.

[114]  Héctor Pomares,et al.  Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition , 2014, Sensors.

[115]  Honggang Wang,et al.  Stackelberg Game for Bandwidth Allocation in Cloud-Based Wireless Live-Streaming Social Networks , 2014, IEEE Systems Journal.

[116]  Qiang Fu,et al.  nergy efficient telemonitoring of physiological signals via ompressed sensing : A fast algorithm and power consumption valuation , 2014 .

[117]  Amandeep Kaur,et al.  A Review of ECG Data Compression Techniques , 2015 .

[118]  Begoña Garcia-Zapirain,et al.  EEG artifact removal—state-of-the-art and guidelines , 2015, Journal of neural engineering.

[119]  Avesta Sasan,et al.  Energy-efficient acceleration of big data analytics applications using FPGAs , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[120]  Xiaoji Niu,et al.  Autonomous Calibration of MEMS Gyros in Consumer Portable Devices , 2015, IEEE Sensors Journal.

[121]  Songqing Chen,et al.  FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation , 2015, 2015 IEEE International Conference on Networking, Architecture and Storage (NAS).

[122]  Jihoon Kim,et al.  Ambient light cancellation in photoplethysmogram application using alternating sampling and charge redistribution technique , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[123]  Yang Zhang,et al.  Tomo: Wearable, Low-Cost Electrical Impedance Tomography for Hand Gesture Recognition , 2015, UIST.

[124]  Susmita Sur-Kolay,et al.  Energy-Efficient Long-term Continuous Personal Health Monitoring , 2015, IEEE Transactions on Multi-Scale Computing Systems.

[125]  Niraj K. Jha,et al.  Vibration-based secure side channel for medical devices , 2015, 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC).

[126]  Paolo Papotti,et al.  BigDansing: A System for Big Data Cleansing , 2015, SIGMOD Conference.

[127]  Wenzhao Jia,et al.  Tattoo-based noninvasive glucose monitoring: a proof-of-concept study. , 2015, Analytical chemistry.

[128]  Carmen C. Y. Poon,et al.  Big Data for Health , 2015, IEEE Journal of Biomedical and Health Informatics.

[129]  He Wang,et al.  MoLe: Motion Leaks through Smartwatch Sensors , 2015, MobiCom.

[130]  Jie Liu,et al.  Wellness Sensor Networks: A Proposal and Implementation for Smart Home for Assisted Living , 2015, IEEE Sensors Journal.

[131]  Han Wen Guo,et al.  Short-term analysis of heart rate variability for emotion recognition via a wearable ECG device , 2015, 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

[132]  Montri Phothisonothai,et al.  An investigation of using SSVEP for EEG-based user authentication system , 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

[133]  Vladimir Stantchev,et al.  Smart Items, Fog and Cloud Computing as Enablers of Servitization in Healthcare , 2015 .

[134]  W. Chen,et al.  Smart Rehabilitation Garment for posture monitoring , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[135]  Subhas Chandra Mukhopadhyay,et al.  Wearable Sensors for Human Activity Monitoring: A Review , 2015, IEEE Sensors Journal.

[136]  Asha,et al.  A Hand Gesture Recognition Framework and Wearable Gesture Based Interaction Prototype for Mobile Devices , 2015 .

[137]  Hassan Ghasemzadeh,et al.  Impact of sensor misplacement on estimating metabolic equivalent of task with wearables , 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

[138]  Peter van Rosmalen,et al.  Augmenting the Senses: A Review on Sensor-Based Learning Support , 2015, Sensors.

[139]  Silvia Giordano,et al.  Gesture-based soft authentication , 2015, 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[140]  Patrick Wendell,et al.  Learning Spark: Lightning-Fast Big Data Analytics , 2015 .

[141]  Massimiliano de Zambotti,et al.  Evaluation of a consumer fitness-tracking device to assess sleep in adults , 2015, Chronobiology international.

[142]  Mirco Musolesi,et al.  Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies , 2015, ArXiv.

[143]  B. Ainsworth,et al.  The current state of physical activity assessment tools. , 2015, Progress in cardiovascular diseases.

[144]  Bin Hu,et al.  Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks , 2015, Journal of Medical Systems.

[145]  Xiangyu Liu,et al.  When Good Becomes Evil: Keystroke Inference with Smartwatch , 2015, CCS.

[146]  Keum-Shik Hong,et al.  Single-trial lie detection using a combined fNIRS-polygraph system , 2015, Front. Psychol..

[147]  Chao Wang,et al.  SODA: Software defined FPGA based accelerators for big data , 2015, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[148]  Carlo Menon,et al.  Wearable band for hand gesture recognition based on strain sensors , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[149]  Sam Emaminejad,et al.  Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis , 2016, Nature.

[150]  Swarup Bhunia,et al.  Energy-Efficient Adaptive Hardware Accelerator for Text Mining Application Kernels , 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[151]  Rajkumar Buyya,et al.  Fog Computing: Helping the Internet of Things Realize Its Potential , 2016, Computer.

[152]  David Wentzlaff,et al.  Availability Knob: Flexible User-Defined Availability in the Cloud , 2016, SoCC.

[153]  Susmita Sur-Kolay,et al.  Physiological Information Leakage: A New Frontier in Health Information Security , 2016, IEEE Transactions on Emerging Topics in Computing.

[154]  Benjamin Goldberg Intelligent Tutoring Gets Physical: Coaching the Physical Learner by Modeling the Physical World , 2016, HCI.

[155]  Hassan Ghasemzadeh,et al.  A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors , 2016, IEEE Journal of Selected Topics in Signal Processing.

[156]  Yan Wang,et al.  Friend or Foe?: Your Wearable Devices Reveal Your Personal PIN , 2016, AsiaCCS.

[157]  James A. Kulik,et al.  Effectiveness of Intelligent Tutoring Systems , 2016 .

[158]  Niraj K. Jha,et al.  A Comprehensive Study of Security of Internet-of-Things , 2017, IEEE Transactions on Emerging Topics in Computing.

[159]  Susmita Sur-Kolay,et al.  CABA: Continuous Authentication Based on BioAura , 2017, IEEE Transactions on Computers.

[160]  Vishal Jain,et al.  Security Attacks in Wireless Sensor Networks: A Survey , 2018 .

[161]  Raja Lavanya,et al.  Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.