03143nas a2200469 a 4500 20260817162740.0 240229s2022 th u m tt 000 a eng d .b12421649 AIT Thesis no.DSAI-22-02 Siraphat Boonchan Anomaly detection in the home with seismic sensors Pathum Thani, Thailand : Asian Institute of Technology, 2022 81 leaves : ill. Thesis ; no. DSAI-22-02 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Data Science and Artificial Intelligence, School of Engineeing and Technology Thesis (M. Eng.) - Asian Institute of Technology, 2022 Falls are a global public health problem. Falls happen to people of all ages, especially on the elderly. Throughout the last decade, we have seen improvements in fall detection system due to technology development and the revolution of deep learning. However, using vibration signal analysis can compensate the weakness and also overcomes the drawbacks associated with the traditional system, and this is a novel idea that needs to be studied further. This thesis studies the embedded system and design space for unsupervised anomaly detection model using modern deep learning best practices. The performance and effectiveness of this system to immediately send alert message to user via LINE apllication when abnormal events occur. Accordingly, this study can help the home residents when an anomolous event or falling down event is occurring. Anomaly detection (Computer security) Artificial intelligence Data processing Deep learning (Machine learning) Dailey, Matthew N., Chairperson Mongkol Ekpanyapong, Examination Committee Chaklam Silpasuwanchai, Examination Committee Royal Thai Government Fellowship, Scholarship Donor Asian Institute of Technology. Thesis ; no. DSAI-22-02 Full-Text http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B20415 .b12421649 mnait a 250428 0 240313 m a a 0 mnarc mnarc mnait mnait 67 40 20 Barcode : - CREATED : 2024-02-29 RECORD # : i13487851 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120899082 CREATED : 2025-07-03 RECORD # : i13537088 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120425177 CREATED : 2025-08-04 RECORD # : i13542916 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120425169 CREATED : 2025-08-04 RECORD # : i13542928 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 6133 6133 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT Thesis no.DSAI-22-02 2026-08-17 16:27:40 2026-08-17 67 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT Thesis no.DSAI-22-02 30050120899082 2026-08-17 16:27:40 1 2026-08-17 40 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Thesis no.DSAI-22-02 30050120425177 2026-08-17 16:27:40 1 2026-08-17 20 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Thesis no.DSAI-22-02 30050120425169 2026-08-17 16:27:40 2 2026-08-17 20