{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T05:02:51Z","timestamp":1778302971553,"version":"3.51.4"},"reference-count":99,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T00:00:00Z","timestamp":1715385600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Sen. Netw."],"published-print":{"date-parts":[[2024,7,31]]},"abstract":"<jats:p>\n            As automatic speech recognition evolves, deployment of the voice user interface (VUI) has boomingly expanded. Especially since the COVID-19 pandemic, the VUI has gained more attention in online communication owing to its non-contact property. However, the VUI struggles to be applied in public scenes due to the degradation of received audio signals caused by various ambient noises. In this article, we propose\n            <jats:italic>Wavoice<\/jats:italic>\n            , the first noise-resistant multi-modal speech recognition system that fuses two distinct voices sensing modalities (i.e., millimeter-wave signals and audio signals from a microphone) together. One key contribution is to model the inherent correlation between millimeter-wave and audio signals. Based on it,\n            <jats:italic>Wavoice<\/jats:italic>\n            facilitates the real-time noise-resistant voice activity detection and user targeting from multiple speakers. Additionally, we elaborate on two novel modules for multi-modal fusion embedded into the neural network, leading to accurate speech recognition. Extensive experiments prove the effectiveness of\n            <jats:italic>Wavoice<\/jats:italic>\n            under adverse conditions\u2014that is, the character recognition error rate below 1% in a range of 7 m. In terms of robustness and accuracy,\n            <jats:italic>Wavoice<\/jats:italic>\n            considerably outperforms existing audio-only speech recognition methods with lower character error and word error rates.\n          <\/jats:p>","DOI":"10.1145\/3597457","type":"journal-article","created":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T12:34:17Z","timestamp":1684413257000},"page":"1-29","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Wavoice: An mmWave-Assisted Noise-Resistant Speech Recognition System"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4706-8817","authenticated-orcid":false,"given":"Tiantian","family":"Liu","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0906-445X","authenticated-orcid":false,"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1880-5096","authenticated-orcid":false,"given":"Zhengxiong","family":"Li","sequence":"additional","affiliation":[{"name":"University of Colorado Denver, Denver, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2269-4694","authenticated-orcid":false,"given":"Ming-Chun","family":"Huang","sequence":"additional","affiliation":[{"name":"Duke Kunshan University, Kunshan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6444-9411","authenticated-orcid":false,"given":"Wenyao","family":"Xu","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Buffalo, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5240-5200","authenticated-orcid":false,"given":"Feng","family":"Lin","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,11]]},"reference":[{"key":"e_1_3_1_2_2","article-title":"The conversation: Deep audio-visual speech enhancement","author":"Afouras Triantafyllos","year":"2018","unstructured":"Triantafyllos Afouras, Joon Son Chung, and Andrew Zisserman. 2018. The conversation: Deep audio-visual speech enhancement. arXiv preprint arXiv:1804.04121 (2018).","journal-title":"arXiv preprint arXiv:1804.04121"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/745\/1\/012088"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3023243"},{"key":"e_1_3_1_5_2","unstructured":"Amazon.2022. Amazon Echo. Retrieved May 27 2023 from https:\/\/www.amazon.com\/echo\/."},{"key":"e_1_3_1_6_2","first-page":"173","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Amodei Dario","year":"2016","unstructured":"Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, et\u00a0al. 2016. Deep Speech 2: End-to-end speech recognition in English and Mandarin. In Proceedings of the International Conference on Machine Learning. 173\u2013182."},{"key":"e_1_3_1_7_2","article-title":"The fifth \u2018CHiME\u2019 speech separation and recognition challenge: Dataset, task and baselines","author":"Barker Jon","year":"2018","unstructured":"Jon Barker, Shinji Watanabe, Emmanuel Vincent, and Jan Trmal. 2018. The fifth \u2018CHiME\u2019 speech separation and recognition challenge: Dataset, task and baselines. arXiv preprint arXiv:1803.10609 (2018).","journal-title":"arXiv preprint arXiv:1803.10609"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3145856"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472621"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.3390\/s20040956"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.3390\/s16010050"},{"key":"e_1_3_1_12_2","volume-title":"Proceedings of the 30th Network and Distributed System Security Symposium (NDSS\u201922)","author":"Chen Xingyu","year":"2022","unstructured":"Xingyu Chen, Zhengxiong Li, Baicheng Chen, Yi Zhu, Chris Xiaoxuan Lu, Zhengyu Peng, Feng Lin, Wenyao Xu, Kui Ren, and Chunming Qiao. 2022. MetaWave: Attacking mmWave sensing with meta-material-enhanced tags. In Proceedings of the 30th Network and Distributed System Security Symposium (NDSS\u201922)."},{"key":"e_1_3_1_13_2","volume-title":"Proceedings of the International Conference on Learning Representations","author":"Choi Hyeong-Seok","year":"2019","unstructured":"Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh, Adrian Kim, Jung-Woo Ha, and Kyogu Lee. 2019. Phase-aware speech enhancement with deep complex U-net. In Proceedings of the International Conference on Learning Representations."},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/928591"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1117\/12.2558272"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3384419.3430735"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462581"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419210"},{"key":"e_1_3_1_19_2","unstructured":"Gmtd. 2022. GM-A906 Microphone. Retrieved May 27 2023 from https:\/\/item.jd.com\/69500632000.html."},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/89.668822"},{"key":"e_1_3_1_21_2","unstructured":"Google. 2017. Ok Google. Retrieved May 27 2023 from https:\/\/ok-google.io\/."},{"key":"e_1_3_1_22_2","unstructured":"Android Central. 2019. Here\u2019s How the Pixel 4\u2019s Soli Radar Works and Why Motion Sense Has So Much Potential. Retrieved May 27 2023 from https:\/\/www.androidcentral.com\/how-does-googles-soli-chip-work."},{"key":"e_1_3_1_23_2","unstructured":"Google. 2022. Google Home. Retrieved May 27 2023 from https:\/\/store.google.com\/product\/google_home\/."},{"key":"e_1_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Surjeet and Nishu Gupta. 2021. A novel voice controlled robotic vehicle for smart city applications. Journal of Physics: Conference Series 1817 1 (2021) 012016.","DOI":"10.1088\/1742-6596\/1817\/1\/012016"},{"key":"e_1_3_1_25_2","first-page":"547","volume-title":"Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding","author":"Harper Mary","year":"2015","unstructured":"Mary Harper. 2015. The automatic speech recognition in reverberant environments (ASpIRE) challenge. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding. 547\u2013554."},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1995.479387"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.3390\/s16081181"},{"key":"e_1_3_1_28_2","first-page":"4005","volume-title":"Advances in Neural Information Processing Systems","author":"Hou Ruibing","year":"2019","unstructured":"Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, and Xilin Chen. 2019. Cross attention network for few-shot classification. In Advances in Neural Information Processing Systems. 4005\u20134016."},{"key":"e_1_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179484"},{"key":"e_1_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796940"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833716"},{"key":"e_1_3_1_33_2","unstructured":"Apple Inc.2022. Siri. Retrieved May 27 2023 from https:\/\/www.apple.com\/au\/siri\/."},{"key":"e_1_3_1_34_2","unstructured":"Texas Instruments. 2022. IWR1642BOOST. Retrieved May 27 2023 from https:\/\/www.ti.com\/tool\/IWR1642BOOST."},{"key":"e_1_3_1_35_2","unstructured":"Texas Instruments. 2022. MMWAVE-STUDIO. Retrieved May 27 2023 from https:\/\/www.ti.com\/tool\/MMWAVE-STUDIO."},{"key":"e_1_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-020-01597-8"},{"key":"e_1_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241548"},{"key":"e_1_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2007.896450"},{"key":"e_1_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-016-0306-6"},{"key":"e_1_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2019.03.008"},{"key":"e_1_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3384419.3430779"},{"key":"e_1_3_1_42_2","doi-asserted-by":"publisher","DOI":"10.2528\/PIER12052207"},{"key":"e_1_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.2528\/PIERB08063001"},{"issue":"2","key":"e_1_3_1_44_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3534598","article-title":"Reliable digital forensics in the air: Exploring an RF-based drone identification system","volume":"6","author":"Li Zhengxiong","year":"2022","unstructured":"Zhengxiong Li, Baicheng Chen, Xingyu Chen, Chenhan Xu, Yuyang Chen, Feng Lin, Changzhi Li, Karthik Dantu, Kui Ren, and Wenyao Xu. 2022. Reliable digital forensics in the air: Exploring an RF-based drone identification system. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 2 (2022), 1\u201325.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_1_45_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP40000.2020.00004"},{"key":"e_1_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3117811.3117839"},{"key":"e_1_3_1_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485730.3485945"},{"key":"e_1_3_1_48_2","doi-asserted-by":"publisher","DOI":"10.1201\/b14529"},{"key":"e_1_3_1_49_2","first-page":"1080006","volume-title":"Millimetre Wave and Terahertz Sensors and Technology XI","author":"Long Ningbo","year":"2018","unstructured":"Ningbo Long, Kaiwei Wang, Ruiqi Cheng, Kailun Yang, and Jian Bai. 2018. Fusion of millimeter wave radar and RGB-depth sensors for assisted navigation of the visually impaired. In Millimetre Wave and Terahertz Sensors and Technology XI. Proceedings Volume 10800. SPIE, 1080006."},{"key":"e_1_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3386901.3388945"},{"key":"e_1_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3384419.3430776"},{"key":"e_1_3_1_52_2","first-page":"1","volume-title":"Advances in Neural Information Processing Systems","author":"Lu Jiasen","year":"2016","unstructured":"Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh. 2016. Hierarchical question-image co-attention for visual question answering. In Advances in Neural Information Processing Systems. 1\u20139."},{"key":"e_1_3_1_53_2","first-page":"580","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Luria Michal","year":"2017","unstructured":"Michal Luria, Guy Hoffman, and Oren Zuckerman. 2017. Comparing social robot, screen and voice interfaces for smart-home control. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 580\u2013628."},{"key":"e_1_3_1_54_2","first-page":"1182","article-title":"Spectral subtraction based on minimum statistics","author":"Martin Rainer","year":"1994","unstructured":"Rainer Martin. 1994. Spectral subtraction based on minimum statistics. In Proceedings of the European Signal Processing Conference (EUSIPCO\u201994)., 1182\u20131185.","journal-title":"Proceedings of the European Signal Processing Conference (EUSIPCO\u201994)."},{"key":"e_1_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvoice.2021.01.013"},{"key":"e_1_3_1_56_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3066303"},{"key":"e_1_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2012.2196513"},{"key":"e_1_3_1_58_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682061"},{"key":"e_1_3_1_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/1622176.1622181"},{"key":"e_1_3_1_60_2","article-title":"The VoiCES from a Distance Challenge 2019 evaluation plan","author":"Nandwana Mahesh Kumar","year":"2019","unstructured":"Mahesh Kumar Nandwana, Julien Van Hout, Mitchell McLaren, Colleen Richey, Aaron Lawson, and Maria Alejandra Barrios. 2019. The VoiCES from a Distance Challenge 2019 evaluation plan. arXiv preprint arXiv:1902.10828 (2019).","journal-title":"arXiv preprint arXiv:1902.10828"},{"key":"e_1_3_1_61_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2913512"},{"key":"e_1_3_1_62_2","article-title":"SEGAN: Speech enhancement generative adversarial network","author":"Pascual Santiago","year":"2017","unstructured":"Santiago Pascual, Antonio Bonafonte, and Joan Serra. 2017. SEGAN: Speech enhancement generative adversarial network. arXiv preprint arXiv:1703.09452 (2017).","journal-title":"arXiv preprint arXiv:1703.09452"},{"key":"e_1_3_1_63_2","doi-asserted-by":"publisher","DOI":"10.2307\/2981392"},{"key":"e_1_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-233"},{"key":"e_1_3_1_65_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683535"},{"key":"e_1_3_1_66_2","first-page":"11531","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","year":"2020","unstructured":"Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangment Zuo, and Qinghua Hu. 2020. ECA-Net: Efficient channel attention for deep convolutional neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 11531\u201311539."},{"key":"e_1_3_1_67_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICR.1996.573784"},{"key":"e_1_3_1_68_2","doi-asserted-by":"publisher","DOI":"10.1145\/3191789.3191799"},{"key":"e_1_3_1_69_2","doi-asserted-by":"publisher","DOI":"10.1587\/transele.E100.C.790"},{"key":"e_1_3_1_70_2","doi-asserted-by":"publisher","DOI":"10.1109\/97.736233"},{"key":"e_1_3_1_71_2","unstructured":"SoundAI. 2020. Voice-Controlled Elevator System Put into Use in Beijing. Retrieved May 27 2023 from https:\/\/www.chinadaily.com.cn\/a\/202003\/13\/WS5e6b3fcca31012821727ef88.html."},{"key":"e_1_3_1_72_2","first-page":"2631","volume-title":"Proceedings of the 29th USENIX Security Symposium (USENIX Security\u201920)","author":"Sugawara Takeshi","year":"2020","unstructured":"Takeshi Sugawara, Benjamin Cyr, Sara Rampazzi, Daniel Genkin, and Kevin Fu. 2020. Light commands: Laser-based audio injection attacks on voice-controllable systems. In Proceedings of the 29th USENIX Security Symposium (USENIX Security\u201920). 2631\u20132648."},{"key":"e_1_3_1_73_2","doi-asserted-by":"publisher","DOI":"10.1145\/3447993.3448626"},{"key":"e_1_3_1_74_2","unstructured":"Telsa. 2022. Model S\/3\/X\/Y. Retrieved May 27 2023 from https:\/\/www.tesla.com\/."},{"key":"e_1_3_1_75_2","unstructured":"Texas Instruments. 2022. DCA1000EVM. Retrieved May 27 2023 from https:\/\/www.ti.com\/tool\/DCA1000EVM."},{"key":"e_1_3_1_76_2","first-page":"1","volume-title":"Proceedings of the International Conference on Learning Representations","author":"Trabelsi Chiheb","year":"2018","unstructured":"Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Jo\u00e3o Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, and Christopher J. Pal. 2018. Deep complex networks. In Proceedings of the International Conference on Learning Representations. 1\u201319."},{"key":"e_1_3_1_77_2","first-page":"6000","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 6000\u20136010."},{"key":"e_1_3_1_78_2","doi-asserted-by":"publisher","DOI":"10.1145\/3534592"},{"key":"e_1_3_1_79_2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796806"},{"key":"e_1_3_1_80_2","doi-asserted-by":"publisher","DOI":"10.1145\/3495243.3560543"},{"key":"e_1_3_1_81_2","doi-asserted-by":"publisher","DOI":"10.3390\/sym11081018"},{"key":"e_1_3_1_82_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2517630"},{"key":"e_1_3_1_83_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900409"},{"key":"e_1_3_1_84_2","doi-asserted-by":"publisher","DOI":"10.3390\/su13063575"},{"key":"e_1_3_1_85_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414388"},{"key":"e_1_3_1_86_2","article-title":"Speech commands: A dataset for limited-vocabulary speech recognition","author":"Warden Pete","year":"2018","unstructured":"Pete Warden. 2018. Speech commands: A dataset for limited-vocabulary speech recognition. arXiv preprint arXiv:1804.03209 (2018).","journal-title":"arXiv preprint arXiv:1804.03209"},{"key":"e_1_3_1_87_2","article-title":"CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings","author":"Watanabe Shinji","year":"2020","unstructured":"Shinji Watanabe, Michael Mandel, Jon Barker, and Emmanuel Vincent. 2020. CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings. arXiv preprint arXiv:2004.09249 (2020).","journal-title":"arXiv preprint arXiv:2004.09249"},{"key":"e_1_3_1_88_2","unstructured":"Canalys. 2020. Global Smart Speaker Market 2021 Forecast. Retrieved May 27 2023 from https:\/\/www.canalys.com\/newsroom\/canalys-global-smart-speaker-market-2021-forecast."},{"key":"e_1_3_1_89_2","unstructured":"Chris Wiltz. 2020. COVID-19 Giving Touchless Interfaces a Chance to Make an Impression. Retrieved May 27 2023 from https:\/\/www.designnews.com\/design-hardware-software\/covid-19-giving-touchless-interfaces-chance-make-impression-0."},{"key":"e_1_3_1_90_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.858066"},{"key":"e_1_3_1_91_2","unstructured":"Xiaomi. 2021. \u2018Not science fiction\u2019: Xiaomis revolutionary new wireless charging tech can charge your devices remotely. FE TECH BYTES. Retrieved May 27 2023 from https:\/\/www.financialexpress.com\/industry\/technology\/."},{"key":"e_1_3_1_92_2","doi-asserted-by":"publisher","DOI":"10.1145\/3307334.3326073"},{"key":"e_1_3_1_93_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6489"},{"key":"e_1_3_1_94_2","doi-asserted-by":"publisher","DOI":"10.5555\/3099718"},{"key":"e_1_3_1_95_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1078"},{"key":"e_1_3_1_96_2","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134052"},{"key":"e_1_3_1_97_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942382"},{"key":"e_1_3_1_98_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"e_1_3_1_99_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397321"},{"key":"e_1_3_1_100_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-83944-4"}],"container-title":["ACM Transactions on Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597457","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3597457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:48:45Z","timestamp":1750182525000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597457"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,11]]},"references-count":99,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,7,31]]}},"alternative-id":["10.1145\/3597457"],"URL":"https:\/\/doi.org\/10.1145\/3597457","relation":{},"ISSN":["1550-4859","1550-4867"],"issn-type":[{"value":"1550-4859","type":"print"},{"value":"1550-4867","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,11]]},"assertion":[{"value":"2022-12-23","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-05-08","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-05-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}