Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh, “SmartSock: A wearable platform for context-aware assessment of ankle edema, ” in Proc. IEEE Conf. Medicine and Biology Society (EMBC), Aug. 2016, pp. 6302-6306
 Francia Dauz, Emil Strumban, Roman Gr. Maev, “Wearable device for increasing the slow wave sleep stage by electrocutaneous stimulation,
” in Proc. IEEE Conf. Canadian Conference on Electrical and Computer Engineering (CCECE), Apr. 2017, pp. 1-3
 Prabha Sundaravadivel, Saraju P. Mohanty, Elias Kougianos, Venkata P. Yanambaka, Madhavi K. Ganapathiraju, “Smart-walk: An intelligent physiological monitoring system for smart families, ” in Proc. IEEE Conf. International Conference on Consumer Electronics (ICCE), Jan. 2018, pp. 1-4
 George Boateng, John A. Batsis, Patrick Proctor, Ryan Halter, David Kotz, “GeriActive: Wearable app for monitoring and encouraging physical activity among older adults, ” in Proc. IEEE Conf. International Conference on Wearable and Implantable Body Sensor Networks (BSN), Mar. 2018, pp. 46-49
 Juzheng Liu, Jing Chen, Hanjun Jiang, Wen Jia, Qingliang Lin, Zhihua Wang, “Activity Recognition in Wearable ECG Monitoring Aided by Accelerometer Data, ” in Proc. IEEE Conf. International Symposium on Circuits and Systems (ISCAS), May 2018, pp. 1-4
 Alexis Martin, Jeremie Voix, “In-Ear Audio Wearable: Measurement of Heart and Breathing Rates for Health and Safety Monitoring, ” IEEE Journals & Magazines Transactions on Biomedical Engineering, Jun. 2018, pp. 1256-1263
 Gregoire Surrel, Amir Aminifar, Francisco Rincon, Srinivasan Murali, David Atienza, “Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors, ” IEEE Early Access Articles Transactions on Biomedical Circuits and Systems, May 2018, pp. 1-12
 Yusuke Takei; Manabu Yoshida; Toshihiro Takeshita; Takeshi Kobayashi, “Wearable muscle training and monitoring device, ” in Proc. IEEE Conf. Micro Electro Mechanical Systems (MEMS), Jan. 2018, pp. 55-58
 Gopi Krishna Durbhaka, “Adaptive wearable smart fabric based on body posture and temperature, ” in Proc. IEEE Conf. International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall), Sep. 2016, pp. 1-5
 Francesco Chinello, Claudio Pacchierotti, Monica Malvezzi, Domenico Prattichizzo, “A Three Revolute-Revolute-Spherical Wearable Fingertip Cutaneous Device for Stiffness Rendering, ” IEEE Journals & Magazines Transactions on Haptics, Jan. 2018, pp. 39-50
 Leonardo Meli, Irfan Hussain, Mirko Aurilio, Monica Malvezzi, Marcia K. O’Malley, Domenico Prattichizzo, “The hBracelet: A Wearable Haptic Device for the Distributed Mechanotactile Stimulation of the Upper Limb, ” IEEE Journals & Magazines Robotics and Automation Letters, Jul. 2018, pp. 2198-2205
 Artem A. Goncharenko, Lilia I. Voronova, Vyacheslav I. Voronov, Aleksey A. Ezhov, Dmitry V. Goryachev, ” in Proc. IEEE Conf. Systems of Signals Generating and Processing in the Field of on Board Communications, Mar. 2018, pp. 1-7
 Kailas Patil, Qaidjohar Jawadwala, Felix Che Shu, “Design and Construction of Electronic Aid for Visually Impaired People, ” IEEE Journals & Magazines Transactions on Human-Machine Systems, Apr. 2018, pp. 172-182
 Yufei Zhang, Bin Liu, Zhiqiang Liu, “WristMouse: Wearable mouse controller based on pressure sensors, ” in Proc. IEEE Conf. International Conference on Wearable and Implantable Body Sensor Networks (BSN), Mar. 2018 ,pp. 177-180
 Tuan Nguyen Gia, Mingzhe Jiang, Victor Kathan Sarker, Amir M. Rahmani. Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, “Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes, “in Proc. IEEE Conf. International Wireless Communications and Mobile Computing Conference (IWCMC), Jun. 2017, pp. 1765-1770
 Y. Yang and D. Ramanan, “Articulated human detection with flexible mixtures of parts,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 35,no. 12, pp. 2878-2890, Dec. 2013.
 A. Toshev and C. Szegedy, “DeepPose: Human pose estimation via deep neural networks,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit.,Jun. 2014, pp. 1653-1660.
 J. Shotton et al., “Real-time human pose recognition in parts from single depth images,” Commun. ACM, vol. 56, no. 1, pp. 116-124, Jan. 2013.
 M. Dantone, J. Gall, C. Leistner, and L. Van Gool, ”Human pose estimation using body parts dependent joint regressors,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2013, pp. 3041-3048.
 F.Wang and Y. Li, “Beyond physical connections: Tree models in human pose estimation,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2013, pp. 596-603.
 Yu Huang, T. S. Huang, “Huang, Model-based human body tracking,” IEEE Conference Publications on Pages: 552-555 vol.1,2002.
 W. Yang, Y. Wang, and G. Mori, “Recognizing human actions from still images with latent poses,” in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 2030–2037.
 S. Johnson and M. Everingham, “Clustered pose and nonlinear appearance models for human pose estimation,” in Proc. BMVC, 2010, vol. 2. no. 4.
 Y. Wang, D. Tran, and Z. Liao, “Learning hierarchical poselets for human parsing,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2011, pp. 1705-1712.
 L. Zhu, Y. Chen, A. Yuille, and W. Freeman, “Latent hierarchical structural learning for object detection,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2010, pp. 1062-1069.
 H. Jiang and D. R. Martin, “Global pose estimation using non-tree models,” in Proc. IEEE Conf. Comput. Vis.Pattern Recognit. (CVPR), Jun. 2008, pp. 1-8.
 L. Sigal and M. J. Black, “:Measure locally, reason globally: Occlusionsensitive articulated pose estimation,” in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., vol. 2. Jun. 2006, pp. 2041-2048.
 Y. Tian, C. L. Zitnick, and S. G. Narasimhan, “Exploring the spatial hierarchy of mixture models for human pose estimation,” in Proc. Eur. Conf. Comput. Vis., Oct. 2012, pp. 256-269.
 L. Karlinsky and S. Ullman, ”Using linking features in learning nonparametric part models,” in Proc. Eur. Conf. Comput. Vis, Oct. 2012, pp. 326-339.
 Nurliyana Muty, Zati Azizul, “Detecting Arm Flapping in Children with Autism Spectrum Disorder Using Human Pose Estimation and Skeletal Representation Algorithms, ”
 Microsoft Corp, Kinect, http://www.xboxkinection.com
 Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio,Richard Moore, Alex Kipman, Andrew Blake, ”Real-Time Human Pose Recognition in Parts from Single Depth Images, ”In Microsoft Research Cambridge & Xbox Incubation,2010
 Y. Amit, D. Geman, “Shape quantization and recognition with randomized trees, ” Neural Computation, 9(7) 1997, pp. 1545–1588