![](bg8.png)
Gia, T. N., Sarker, V. K., Tcarenko, I., Rahmani, A. M.,
Westerlund, T., Liljeberg, P., and Tenhunen, H.
(2018). Energy efficient wearable sensor node for iot-
based fall detection systems. Microprocessors and Mi-
crosystems, 56:34–46.
Grubert, J., Langlotz, T., Zollmann, S., and Regen-
brecht, H. (2016). Towards pervasive augmented re-
ality: Context-awareness in augmented reality. IEEE
transactions on visualization and computer graphics,
23(6):1706–1724.
Hong, S., Gu, Y., Seo, J. K., Wang, J., Liu, P., Meng, Y. S.,
Xu, S., and Chen, R. (2019). Wearable thermoelectrics
for personalized thermoregulation. Science advances,
5(5):eaaw0536.
Jia, G., Han, G., Xie, H., and Du, J. (2018). Hybrid-lru
caching for optimizing data storage and retrieval in
edge computing-based wearable sensors. IEEE Inter-
net of Things Journal, 6(2):1342–1351.
Kim, J., Gutruf, P., Chiarelli, A. M., Heo, S. Y., Cho, K.,
Xie, Z., Banks, A., Han, S., Jang, K.-I., Lee, J. W.,
et al. (2017). Miniaturized battery-free wireless sys-
tems for wearable pulse oximetry. Advanced func-
tional materials, 27(1):1604373.
Kliger, A. S. and Silberzweig, J. (2020). Mitigating risk of
covid-19 in dialysis facilities. Clinical Journal of the
American Society of Nephrology, 15(5):707–709.
Lin, X., Li, J., Wu, J., Liang, H., and Yang, W. (2019). Mak-
ing knowledge tradable in edge-ai enabled iot: A con-
sortium blockchain-based efficient and incentive ap-
proach. IEEE Transactions on Industrial Informatics,
15(12):6367–6378.
Liounakos, J. I., Urakov, T., and Wang, M. Y. (2020).
Head-up display assisted endoscopic lumbar discec-
tomy—a technical note. The International Journal
of Medical Robotics and Computer Assisted Surgery,
16(3):e2089.
Manogaran, G., Shakeel, P. M., Fouad, H., Nam, Y., Baskar,
S., Chilamkurti, N., and Sundarasekar, R. (2019).
Wearable iot smart-log patch: An edge computing-
based bayesian deep learning network system for
multi access physical monitoring system. Sensors,
19(13):3030.
Organization, W. H. et al. (2020). Advice on the use of
masks in the context of covid-19: interim guidance, 6
april 2020. Technical report, World Health Organiza-
tion.
Prachand, V. N., Milner, R., Angelos, P., Posner, M. C.,
Fung, J. J., Agrawal, N., Jeevanandam, V., and
Matthews, J. B. (2020). Medically-necessary, time-
sensitive procedures: A scoring system to ethically
and efficiently manage resource scarcity and provider
risk during the covid-19 pandemic. Journal of the
American College of Surgeons.
Ren, J., Guo, H., Xu, C., and Zhang, Y. (2017). Serving at
the edge: A scalable iot architecture based on trans-
parent computing. IEEE Network, 31(5):96–105.
Rumsey, A. and Le Dantec, C. A. (2019). Clearing the
smoke: The changing identities and work in firefight-
ers. In Proceedings of the 2019 on Designing Interac-
tive Systems Conference, pages 581–592.
Salkic, S., Ustundag, B. C., Uzunovic, T., and Golubovic,
E. (2019). Edge computing framework for wearable
sensor-based human activity recognition. In Interna-
tional Symposium on Innovative and Interdisciplinary
Applications of Advanced Technologies, pages 376–
387. Springer.
Silva, M. C., Amorim, V. J., Ribeiro, S. P., and Oliveira,
R. A. (2019). Field research cooperative wearable sys-
tems: Challenges in requirements, design and valida-
tion. Sensors, 19(20):4417.
S
¨
or
¨
os, G., Semmler, S., Humair, L., and Hilliges, O. (2015).
Fast blur removal for wearable qr code scanners. In
Proceedings of the 2015 ACM International Sympo-
sium on Wearable Computers, pages 117–124.
Stanton, N. A., Roberts, A. P., Plant, K. L., Allison, C. K.,
and Harvey, C. (2018). Head-up displays assist heli-
copter pilots landing in degraded visual environments.
Theoretical issues in ergonomics science, 19(5):513–
529.
Surve, A. R. and Ghorpade, V. R. (2017). Pervasive context-
aware computing survey of context-aware ubiquitous
middleware systems. International Journal of Engi-
neering10. 1.
Tremper, K. K. and Barker, S. J. (1989). Pulse oximetry.
Anesthesiology: The Journal of the American Society
of Anesthesiologists, 70(1):98–108.
Vippalapalli, V. and Ananthula, S. (2016). Internet of things
(iot) based smart health care system. In 2016 Interna-
tional Conference on Signal Processing, Communica-
tion, Power and Embedded System (SCOPES), pages
1229–1233. IEEE.
Wang, W., Zhu, X., Chan, K., and Tsang, P. (2018). Digi-
tal holographic system for automotive augmented re-
ality head-up-display. In 2018 IEEE 27th Interna-
tional Symposium on Industrial Electronics (ISIE),
pages 1327–1330. IEEE.
Weintraub, D. J., Haines, R. F., and Randle, R. J. (1985).
Head-up display (hud) utility, ii: Runway to hud tran-
sitions monitoring eye focus and decision times. In
Proceedings of the Human Factors Society Annual
Meeting, volume 29, pages 615–619. SAGE Publica-
tions Sage CA: Los Angeles, CA.
Zhang, Y., Gravina, R., Lu, H., Villari, M., and Fortino,
G. (2018). Pea: Parallel electrocardiogram-based au-
thentication for smart healthcare systems. Journal of
Network and Computer Applications, 117:10–16.
Zhao, S., Wang, J., Leng, H., Liu, Y., Liu, H., Siewiorek,
D. P., Satyanarayanan, M., and Klatzky, R. L. (2020).
Edge-based wearable systems for cognitive assis-
tance: Design challenges, solution framework, and
application to emergency healthcare.
ICEIS 2021 - 23rd International Conference on Enterprise Information Systems
900