{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T10:17:29Z","timestamp":1784024249338,"version":"3.55.0"},"reference-count":20,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T00:00:00Z","timestamp":1687305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia","award":["IFKSUOR3-022-2"],"award-info":[{"award-number":["IFKSUOR3-022-2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Modern home automation systems include features that enhance security, such as cameras and radars. This paper proposes an innovative home security system that can detect burglars by analyzing acoustic signals and instantly notifying the authorized person(s). The system architecture incorporates the concept of the Internet of Things (IoT), resulting in a network and a user-friendly system. The proposed system uses an adaptive detection algorithm, namely the \u201cshort-time-average through long-time-average\u201d algorithm. The proposed algorithm is implemented by an IoT device (Arduino Duo) to detect people\u2019s acoustical activities for the purpose of home\/office security. The performance of the proposed system is evaluated using 10 acoustic signals representing actual events and background noise. The acoustic signals were generated by the sounds of keys shaking, the falling of a small object, the shrinking of a plastic bag, speaking, footsteps, etc. The effects of different algorithms\u2019 parameters on the performance of the proposed system have been thoroughly investigated.<\/jats:p>","DOI":"10.3390\/s23135792","type":"journal-article","created":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T02:09:17Z","timestamp":1687399757000},"page":"5792","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3433-6835","authenticated-orcid":false,"given":"Najeeb","family":"Al-Khalli","sequence":"first","affiliation":[{"name":"KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia"},{"name":"King Abdullah Institute for Nanotechnology (KAIN), King Saud University, Riyadh 11451, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saud","family":"Alateeq","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3260-5298","authenticated-orcid":false,"given":"Mohammed","family":"Almansour","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3165-1821","authenticated-orcid":false,"given":"Yousef","family":"Alhassoun","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0485-9117","authenticated-orcid":false,"given":"Ahmed B.","family":"Ibrahim","sequence":"additional","affiliation":[{"name":"KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4157-9277","authenticated-orcid":false,"given":"Saleh A.","family":"Alshebeili","sequence":"additional","affiliation":[{"name":"KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia"},{"name":"Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,21]]},"reference":[{"key":"ref_1","first-page":"1706","article-title":"Edge of things: The big picture on the integration of edge, IoT and the cloud in a distributed computing environment","volume":"6","author":"Sankar","year":"2017","journal-title":"IEEE Access"},{"key":"ref_2","unstructured":"Cicero, S., Cromwell, C., and Hunt, E. 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