{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T17:07:29Z","timestamp":1787936849063,"version":"build-2784847793"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,5,18]],"date-time":"2015-05-18T00:00:00Z","timestamp":1431907200000},"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":[],"published-print":{"date-parts":[[2015,5,18]]},"DOI":"10.1145\/2742647.2742658","type":"proceedings-article","created":{"date-parts":[[2015,5,11]],"date-time":"2015-05-11T16:31:04Z","timestamp":1431361864000},"page":"301-315","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":106,"title":["AccelWord"],"prefix":"10.1145","author":[{"given":"Li","family":"Zhang","sequence":"first","affiliation":[{"name":"University of California, Davis, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parth H.","family":"Pathak","sequence":"additional","affiliation":[{"name":"University of California, Davis, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muchen","family":"Wu","sequence":"additional","affiliation":[{"name":"University of California, Davis, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixin","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of California, Davis, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prasant","family":"Mohapatra","sequence":"additional","affiliation":[{"name":"University of California, Davis, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,5,18]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"\"Apple siri https:\/\/www.apple.com\/ios\/siri\/.\"  \"Apple siri https:\/\/www.apple.com\/ios\/siri\/.\""},{"key":"e_1_3_2_1_2_1","unstructured":"\"Google now http:\/\/www.google.com\/landing\/now.\"  \"Google now http:\/\/www.google.com\/landing\/now.\""},{"key":"e_1_3_2_1_3_1","unstructured":"\"Android wear.\" http:\/\/www.android.com\/wear\/.  \"Android wear.\" http:\/\/www.android.com\/wear\/."},{"key":"e_1_3_2_1_4_1","unstructured":"\"Google glass.\" https:\/\/www.google.com\/glass\/start\/.  \"Google glass.\" https:\/\/www.google.com\/glass\/start\/."},{"key":"e_1_3_2_1_5_1","unstructured":"\"Amazon echo.\" http:\/\/www.amazon.com\/oc\/echo.  \"Amazon echo.\" http:\/\/www.amazon.com\/oc\/echo."},{"key":"e_1_3_2_1_6_1","unstructured":"\"Nexus 6 https:\/\/www.google.com\/nexus\/6\/.\"  \"Nexus 6 https:\/\/www.google.com\/nexus\/6\/.\""},{"key":"e_1_3_2_1_7_1","volume-title":"Gyrophone: Recognizing speech from gyroscope signals,\" in USENIX'2014","author":"Michalevsky Y.","unstructured":"Y. Michalevsky , D. Boneh , and G. Nakibly , \" Gyrophone: Recognizing speech from gyroscope signals,\" in USENIX'2014 . Y. Michalevsky, D. Boneh, and G. Nakibly, \"Gyrophone: Recognizing speech from gyroscope signals,\" in USENIX'2014."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2046707.2046771"},{"key":"e_1_3_2_1_9_1","unstructured":"\"Samsung s voice.\" http:\/\/www.samsung.com\/global\/galaxys3\/svoice.html.  \"Samsung s voice.\" http:\/\/www.samsung.com\/global\/galaxys3\/svoice.html."},{"key":"e_1_3_2_1_10_1","unstructured":"\"Monsoon power monitor.\" https:\/\/www.msoon.com\/LabEquipment\/PowerMonitor\/.  \"Monsoon power monitor.\" https:\/\/www.msoon.com\/LabEquipment\/PowerMonitor\/."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2596695.2596720"},{"key":"e_1_3_2_1_12_1","volume-title":"Automatic language identification using deep neural networks,\" in ICASSP'2014","author":"Lopez-Moreno I.","unstructured":"I. Lopez-Moreno , J. Gonzalez-Dominguez , and O. Plchot , \" Automatic language identification using deep neural networks,\" in ICASSP'2014 . I. Lopez-Moreno, J. Gonzalez-Dominguez, and O. Plchot, \"Automatic language identification using deep neural networks,\" in ICASSP'2014."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2312548"},{"key":"e_1_3_2_1_14_1","volume-title":"Distributed acoustic modeling with back-off n-grams,\" in ICASSP'2012","author":"Chelba C.","unstructured":"C. Chelba , P. Xu , F. Pereira , and T. Richardson , \" Distributed acoustic modeling with back-off n-grams,\" in ICASSP'2012 . C. Chelba, P. Xu, F. Pereira, and T. Richardson, \"Distributed acoustic modeling with back-off n-grams,\" in ICASSP'2012."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"e_1_3_2_1_16_1","unstructured":"Wikipedia. Examples of Sound Pressure http:\/\/en.wikipedia.org\/wiki\/Sound_pressure#Examples_of_sound_pressure.  Wikipedia. Examples of Sound Pressure http:\/\/en.wikipedia.org\/wiki\/Sound_pressure#Examples_of_sound_pressure."},{"key":"e_1_3_2_1_17_1","unstructured":"STMicroelectronics. Everything about STMicroelectronics 3-axis digital MEMS andoscopes http:\/\/www.st.com\/web\/en\/resource\/technical\/document\/technical_article\/DM00034730.pdf.  STMicroelectronics. Everything about STMicroelectronics 3-axis digital MEMS andoscopes http:\/\/www.st.com\/web\/en\/resource\/technical\/document\/technical_article\/DM00034730.pdf."},{"key":"e_1_3_2_1_18_1","unstructured":"Ceramic capacitors feature reduced acoustic noise http:\/\/www.electronics-eetimes.com\/en\/ceramic-capacitors-feature-reduced-acoustic-noise.html.  Ceramic capacitors feature reduced acoustic noise http:\/\/www.electronics-eetimes.com\/en\/ceramic-capacitors-feature-reduced-acoustic-noise.html."},{"key":"e_1_3_2_1_19_1","volume-title":"Auburn Univeristy","author":"Roth G.","year":"2009","unstructured":"G. Roth , \"Simulation of the effects of acoustic noise on mems gyroscopes,\" Thesis , Auburn Univeristy , 2009 . G. Roth, \"Simulation of the effects of acoustic noise on mems gyroscopes,\" Thesis, Auburn Univeristy, 2009."},{"key":"e_1_3_2_1_20_1","unstructured":"\"Inven sense inc. mpu-6000 and mpu 6050 product speficication.\" http:\/\/www.invensense.com\/mems\/gyro\/documents\/PSMPU-6000A-00v3.4.pdf.  \"Inven sense inc. mpu-6000 and mpu 6050 product speficication.\" http:\/\/www.invensense.com\/mems\/gyro\/documents\/PSMPU-6000A-00v3.4.pdf."},{"key":"e_1_3_2_1_21_1","unstructured":"Wikipedia. Human Hearing Range http:\/\/en.wikipedia.org\/wiki\/Hearing_range.  Wikipedia. Human Hearing Range http:\/\/en.wikipedia.org\/wiki\/Hearing_range."},{"key":"e_1_3_2_1_22_1","unstructured":"Wikipedia. Voice Frequency http:\/\/en.wikipedia.org\/wiki\/Voice_frequency.  Wikipedia. Voice Frequency http:\/\/en.wikipedia.org\/wiki\/Voice_frequency."},{"key":"e_1_3_2_1_23_1","unstructured":"S. Meter. Google Play Store https:\/\/play.google.com\/store\/apps\/details?id=kr.sira.sound.  S. Meter. Google Play Store https:\/\/play.google.com\/store\/apps\/details?id=kr.sira.sound."},{"key":"e_1_3_2_1_24_1","unstructured":"EngineeringToolnbox. Sound Pressure Levels of Common Sources http:\/\/www.engineeringtoolbox.com\/sound-pressure-d_711.html.  EngineeringToolnbox. Sound Pressure Levels of Common Sources http:\/\/www.engineeringtoolbox.com\/sound-pressure-d_711.html."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1006\/csla.1993.1007"},{"key":"e_1_3_2_1_27_1","volume-title":"Tandem connectionist feature extraction for conventional hmm systems,\" in IEEE ICASSP'2000","author":"Hermansky H.","unstructured":"H. Hermansky , D. P. Ellis , and S. Sharma , \" Tandem connectionist feature extraction for conventional hmm systems,\" in IEEE ICASSP'2000 . H. Hermansky, D. P. Ellis, and S. Sharma, \"Tandem connectionist feature extraction for conventional hmm systems,\" in IEEE ICASSP'2000."},{"key":"e_1_3_2_1_28_1","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten I. H.","year":"2011","unstructured":"I. H. Witten , E. Frank , and M. A. Hall , Data Mining: Practical Machine Learning Tools and Techniques . San Francisco, CA, USA : Morgan Kaufmann Publishers Inc ., 3 rd ed., 2011 . I. H. Witten, E. Frank, and M. A. Hall, Data Mining: Practical Machine Learning Tools and Techniques. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 3rd ed., 2011.","edition":"3"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2014.07.009"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.709601"},{"key":"e_1_3_2_1_32_1","volume-title":"Summary of the Noise Control Act","author":"United States Environmental Protection Agency","year":"1972","unstructured":"United States Environmental Protection Agency , Summary of the Noise Control Act , 1972 . United States Environmental Protection Agency, Summary of the Noise Control Act, 1972."},{"key":"e_1_3_2_1_33_1","volume-title":"The quality standared of noisy enviroment","author":"Enviroment Projection Agency of the State Council of China","year":"2008","unstructured":"Enviroment Projection Agency of the State Council of China , The quality standared of noisy enviroment , 2008 . Enviroment Projection Agency of the State Council of China, The quality standared of noisy enviroment, 2008."},{"key":"e_1_3_2_1_34_1","volume-title":"September","year":"2012","unstructured":"Ministry of the Environment of Japan , Current Framework of Vehicle Noise Regulation in Japan , September 2012 . Ministry of the Environment of Japan, Current Framework of Vehicle Noise Regulation in Japan, September 2012."},{"key":"e_1_3_2_1_35_1","unstructured":"\"Moto x (2rd generation) https:\/\/www.motorola.com\/us\/motomaker?pid=flexr2.\"  \"Moto x (2rd generation) https:\/\/www.motorola.com\/us\/motomaker?pid=flexr2.\""},{"key":"e_1_3_2_1_36_1","article-title":"A family of adapative filter algorithms in noise cancellation for speech enhancement","volume":"2","author":"Hadei S. A.","year":"2010","unstructured":"S. A. Hadei and M. Lotfizad , \" A family of adapative filter algorithms in noise cancellation for speech enhancement ,\" International Journal of Computer and Electrical Engineering , vol. 2 , April 2010 . S. A. Hadei and M. Lotfizad, \"A family of adapative filter algorithms in noise cancellation for speech enhancement,\" International Journal of Computer and Electrical Engineering, vol. 2, April 2010.","journal-title":"International Journal of Computer and Electrical Engineering"},{"key":"e_1_3_2_1_37_1","volume-title":"Speech activity detection using accelerometer,\" in IEEE EMBC'2012","author":"Matic A.","unstructured":"A. Matic , V. Osmani , and O. Mayora , \" Speech activity detection using accelerometer,\" in IEEE EMBC'2012 . A. Matic, V. Osmani, and O. Mayora, \"Speech activity detection using accelerometer,\" in IEEE EMBC'2012."},{"key":"e_1_3_2_1_38_1","unstructured":"S. V. Dusan E. B. Andersen A. Lindahl and A. P. Bright \"System and method of detecting a user's voice activity using an acceleromter.\" US Patent No. 20140093093 A1.  S. V. Dusan E. B. Andersen A. Lindahl and A. P. Bright \"System and method of detecting a user's voice activity using an acceleromter.\" US Patent No. 20140093093 A1."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2594368.2594384"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601119"},{"key":"e_1_3_2_1_41_1","volume-title":"Audio-visual speech recognition incorporating facial depth information captured by the kinect,\" in EUSIPCO'2012","author":"Galatas G.","unstructured":"G. Galatas , G. Potamianos , and F. Makedon , \" Audio-visual speech recognition incorporating facial depth information captured by the kinect,\" in EUSIPCO'2012 . G. Galatas, G. Potamianos, and F. Makedon, \"Audio-visual speech recognition incorporating facial depth information captured by the kinect,\" in EUSIPCO'2012."}],"event":{"name":"MobiSys'15: The 13th Annual International Conference on Mobile Systems, Applications, and Services","location":"Florence Italy","acronym":"MobiSys'15","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2742647.2742658","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2742647.2742658","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:00:33Z","timestamp":1750230033000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2742647.2742658"}},"subtitle":["Energy Efficient Hotword Detection through Accelerometer"],"short-title":[],"issued":{"date-parts":[[2015,5,18]]},"references-count":40,"alternative-id":["10.1145\/2742647.2742658","10.1145\/2742647"],"URL":"https:\/\/doi.org\/10.1145\/2742647.2742658","relation":{},"subject":[],"published":{"date-parts":[[2015,5,18]]},"assertion":[{"value":"2015-05-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}