Abstract
The emergence of wearable smart devices enables people to understand their health level in more details and efficiently process information. According to the physical form of the wearable smart device, this paper classifies the wearable smart devices into four categories and conducts the survey regarding the development of related technologies through in-depth investigations. Furthermore, this paper analyzes the development status and limitations of wearable smart devices and provides the basis for the prospect of wearable smart devices.
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References
Interaction Paradigm. https://zh.wikipedia.org/w/index.php?title=%E4%BA%A4%E4%BA%92%E8%8C%83%E5%BC%8F&oldid=10425617. Accessed 10 Mar 2018
Dallacosta, G., Radaelli, M., Maida, S., et al.: Smart watch, smarter EDSS: improving disability assessment in multiple sclerosis clinical practice. J. Neurol. Sci. 383, 166 (2017)
Hataji, O., Nishii, Y., Ito, K., et al.: Smart watch-based coaching with tiotropium and olodaterol ameliorates physical activity in patients with chronic obstructive pulmonary disease. Exp. Ther. Med. 14(5), 4061–4064 (2017)
Wearable Smart Devices. https://baike.baidu.com/item/%E7%A9%BF%E6%88%B4%E5%BC%8F%E6%99%BA%E8%83%BD%E8%AE%BE%E5%A4%87/1886368. Accessed 2 Apr 2018
Feng, S.: Wearable devices development status and trend. Inf. Commun. Technol. 3, 52–57 (2014). (in Chinese)
Lallement, G., Abouzeid, F., Cochet, M., Daveau, J.M., Roche, P., Autran, J.L.: A 2.7 pJ/cycle 16 MHz, 0.7 μW deep sleep power ARM Cortex-M0+ core SoC in 28 nm FD-SOI. IEEE J. Solid-State Circ. (2018)
Magno, M., Pritz, M., Mayer, P., Benini, L.: DeepEmote: towards multi-layer neural networks in a low power wearable multi-sensors bracelet. In: IEEE International Workshop on Advances in Sensors and Interfaces, pp. 32–37. IEEE (2017)
Moazen, D., Sajjadi, S.A., Nahapetian, A.: AirDraw: leveraging smart watch motion sensors for mobile human computer interactions. In: IEEE Consumer Communications & Networking Conference, pp. 442–446. IEEE (2016)
Lai, Y., Deng, J., Zhang, S.L., et al.: Single‐thread‐based wearable and highly stretchable triboelectric nanogenerators and their applications in cloth‐based self‐powered human‐interactive and biomedical sensing. Adv. Funct. Mater. 27 (2016)
Ciabattoni, L., Ferracuti, F., Longhi, S., et al.: Real-time mental stress detection based on smartwatch. In: IEEE International Conference on Consumer Electronics, pp. 110–111. IEEE (2017)
Maxim, A.B.B., Mikhail, B.B.P., Andrey, V.B.K., Jo, J.J., Demetrius, A.B.J.C., Sergei, A.B.Y., Samsung Electronics Co., Ltd.: Method of measuring blood pressure and apparatus therefor. WO patent WO2018030665A1, 15 February 2018
Narasimhan, R., Kimoto, R.C., Sullivan, T.J., Whitehurst, T.K., Young, D.P., Zeng, Z., Klaassen, E., Apple Inc.: Wrist worn accelerometer for pulse transit time (PTT) measurements of blood pressure. US patent US20170281024A1, 5 October 2017
Using Machine Learning on Wearable Smart Watch Devices to Track Nutritional Intake. https://alzulas.com/Pages/PDFs/SmartWatch-2.pdf
MCU-Bluetooth design: making smartwatch talk to IoT devices. https://archive.eetindia.co.in/www.eetindia.co.in/ART_8800704241_1800013_NT_9fb4d9a1.HTM. Accessed 29 Apr 2018
Seetharamu, V.K., Bose, J., Sunkara, S., Tigga, N.: TV remote control via wearable smart watch device. In: India Conference, pp. 1–6. IEEE (2015)
Acknowledgements
This work is supported by National Natural Science Foundation of Innovative Research Groups Science Foundation of China (51221004), ARC DECRA and ARC Discovery projects (DE130100911, DP130101327), the NSFC funding (61332013), the International Science and Technology Cooperation Projects (No. 2016D10008, 2013DFG12810, 2013C24027), the Municipal Natural Science Foundation of Ningbo (No.2015A610119), the Guangzhou Science and Technology Project under Grants (2016201604030034), the Major Projects of Natural Science Research in Jiangsu Higher Education Institutions (No. 14KJA520001), Jiangsu Production and Research Project (No. BY2015010-05), the Natural Science Foundation of Zhejiang Province (No. Y16F020002), the Ningbo Natural Science Fund (No. 2015A610119), International Science & Technology Cooperation Projects of Ningbo (No. 2016D10008) and the project of research and development of intelligent resource allocation and sharing platform for marine electronic information industry (No. 2017GY116).
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Li, Y., He, J., Huang, G., Xie, Z. (2018). Development Status and Trends of Wearable Smart Devices on Wrists. In: Xiao, J., Mao, ZH., Suzumura, T., Zhang, LJ. (eds) Cognitive Computing – ICCC 2018. ICCC 2018. Lecture Notes in Computer Science(), vol 10971. Springer, Cham. https://doi.org/10.1007/978-3-319-94307-7_9
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DOI: https://doi.org/10.1007/978-3-319-94307-7_9
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