1 |
Logitech, "Logitech Circle View Camera", Available. https://www.logitech.com/en-us/products/cameras/circle-view-security-camera.961-000489.html
|
2 |
Kuna, "Kuna Camera Floodlight", Available. https://getkuna.com/products/camera-floodlight
|
3 |
C. V. Amrutha, C. Jyotsna, J. Amudha, et al. "Deep learning approach for suspicious activity detection from surveillance video.", 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 335-339, 2020. https://doi.org/10.1109/ICIMIA48430.2020.9074920
DOI
|
4 |
J. Jung, D. Lee, S. Kim, J. Ahn, et al. "Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision, Audio, Activity and Dust Sensors." Journal of Internet Computing and Services, Vol. 21.5, pp. 109-118, 2020. https://doi.org/10.7472/jksii.2020.21.5.109
DOI
|
5 |
E. Odiljon, H. Park, J. Ahn, et al. "Personalized Unusual Event Detection Algorithm at Smart Home via Daily Activity and Vision Pattern", International Journal of Smart Home, Vol. 12, No. 3, 2018. https://dx.doi.org/10.21742/IJSH.2018.12.3.01
DOI
|
6 |
G. Anitha, S. B. Priya, et al. "Posture based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network.", Cluster Computing, Vol. 22.6, pp. 13583-13590, 2019. https://doi.org/10.1007/s10586-018-2010-9
DOI
|
7 |
Korea Development Institute, "Investigation of changes in consumption behavior and implications in the era of Corona", 2021. https://eiec.kdi.re.kr/policy/domesticView.do?ac=0000157013&issus=S&pp=20&datecount=&pg=
|
8 |
Korea Consumer Agency, "Consumer Safety Advisory", 2020. https://www.kca.go.kr/home/sub.do?menukey=4006&mode=view&no=1002916485
|
9 |
SK telecom, "Rescue 100 elderly people with SKT and AI care for fire department", 2021. https://news.sktelecom.com/131451
|
10 |
J. Ahn, H. Park, J. Jung, G. Lee, et al. "Unusual Event Detection Algorithm via Personalized Daily Activity and Vision Patterns for Single Households." International Journal of Engineering & Technology, Vol. 8, No. 1.4, 2019. http://dx.doi.org/10.14419/ijet.v8i1.4.25465
DOI
|
11 |
J. Song, J. Jung, J. Ahn, et al. "Intelligent pattern recognition algorithms based on dust, vision and activity sensors for user unusual event detection." Journal of The Korea Society of Computer and Information, Vol. 24.8, pp. 95-103, 2019. https://doi.org/10.9708/jksci.2019.24.08.095
DOI
|
12 |
S. Kim, J. Ahn, et al. "Abnormal Behavior Pattern Identifications of One-person Households using Audio, Vision, and Dust Sensors." Journal of Internet Computing and Services, Vol. 20.6, pp. 95-103, 2019. https://doi.org/10.7472/jksii.2019.20.6.95
DOI
|
13 |
J. Redmon, A. Farhadi, et al. "Yolov3: An incremental improvement.", arXiv. 1804.02767, 2018. https://arxiv.org/abs/1804.02767
|
14 |
F. Luo, S. Poslad, E. Bodanese, et al. "Temporal convolutional networks for multiperson activity recognition using a 2-d lidar.", IEEE Internet of Things Journal, Vol. 7.8, pp. 7432-7442, 2020. https://doi.org/10.1109/JIOT.2020.2984544
DOI
|
15 |
J. Jung, J. Ahn, et al. "Intelligent user pattern recognition based on vision, audio and activity for abnormal event detections of single households.", Journal of The Korea Society of Computer and Information, Vol. 24.5, pp. 59-66, 2019. https://doi.org/10.9708/jksci.2019.24.05.059
DOI
|
16 |
Bank of Korea, "The spread of telecommuting due to the COVID-19 crisis: issues and evaluations", 2020. https://www.bok.or.kr/portal/bbs/P0000559/view.do?nttId=10061737&menuNo=200690
|
17 |
J. Jung, R. Oh, G. Lee, J. Ahn, et al. "Real-time unusual user event detection algorithm fusing vision, audio, activity, and dust patterns." Multimedia Tools and Applications, pp. 1-16, 2020. https://doi.org/10.1007/s11042-020-09149-1
DOI
|
18 |
D. Kim, J. Ahn, et al. "Intelligent Abnormal Situation Event Detections for Smart Home Users Using Lidar, Vision, and Audio Sensors." Journal of Internet Computing and Services, Vol. 22.3, pp. 17-26, 2021. https://doi.org/10.7472/jksii.2021.22.3.17
DOI
|
19 |
Ren, Shaoqing, et al. "Faster r-cnn: Towards real-time object detection with region proposal networks." Advances in neural information processing systems, 28, pp. 91-99, 2015. https://arxiv.org/abs/1506.01497
|
20 |
J. Jung, J. Ahn, et al. "Intelligent abnormal event detection algorithm for single households at home via daily audio and vision patterns.", Journal of Internet Computing and Services, Vol. 20.1, pp. 77-86, 2019. https://doi.org/10.7472/jksii.2019.20.1.77
DOI
|
21 |
Bochkovskiy, Alexey, Chien-Yao Wang, and Hong-Yuan Mark Liao. "Yolov4: Optimal speed and accuracy of object detection." arXiv:2004.10934, 2020. https://arxiv.org/abs/2004.10934
|
22 |
M. Koutli, N. Theologou, A. Tryferidis, D. Tzovaras, et al. "Abnormal Behavior Detection for elderly people living alone leveraging IoT sensors.", IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 922-926, 2019. https://doi.org/10.1109/BIBE.2019.00173
DOI
|
23 |
S. Park, M. Ji, J. Chun, et al. "2D human pose estimation based on object detection using RGB-D information.", KSII Transactions on Internet and Information Systems (TIIS), Vol. 12.2, pp. 800-816, 2018. https://doi.org/10.3837/tiis.2018.02.015
DOI
|
24 |
Apple, "Apple Watch", Available. https://www.apple.com/watch/
|
25 |
M. O. Gani, T. Fayezeen, R. J. Povinelli, R. O. Smith, M. Arif, A. J. Kattan, S. I. Ahamed, et al. "A light weight smartphone based human activity recognition system with high accuracy." Journal of Network and Computer Applications, Vol. 141, 59-72, 2019. https://doi.org/10.1016/j.jnca.2019.05.001
DOI
|
26 |
N. Ahmed, J. I. Rafiq, M. R. Islam, et al. "Enhanced human activity recognition based on smartphone sensor data using hybrid feature selection model.", Sensors, Vol. 20, No. 317, 2020. https://doi.org/10.3390/s20010317
DOI
|
27 |
S. Xu, E. S. Ho, N. Aslam, H. P. Shum, et al. "Unsupervised abnormal behaviour detection with overhead crowd video." 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pp. 1-6, 2017. https://doi.org/10.1109/SKIMA.2017.8294092
DOI
|
28 |
G. Morales, I. Salazar-Reque, J. Telles, D. Diaz, et al. "Detecting violent robberies in CCTV videos using deep learning." IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer, Cham, pp. 282-291, 2019. https://doi.org/10.1007/978-3-030-19823-7_23
DOI
|
29 |
Ava Science, "Ava Fertility Tracker", Available. https://www.avawomen.com/
|
30 |
MOTIV, "Motiv Ring", Available. https://www.mymotiv.com/
|
31 |
fitbit, "Fitbit Charge 5", Available. https://www.fitbit.com/
|
32 |
TempTraq, "TempTraq", Available. https://www.temptraq.com/Home
|
33 |
Owlet, "Owlet Smart Sock", Available. https://owletcare.com/
|
34 |
Arlo, "Arlo Pro3 Wireless Security Camera", Available. https://www.arlo.com/en-us/cameras/pro/arlo-pro-3.html
|
35 |
Wyze, "Wyze Cam Outdoor", Available. https://wyze.com/wyze-cam-outdoor.html
|
36 |
Google, "Google Nest Cam", Available. https://store.google.com/us/product/nest_cam_battery?hl=en-US
|