{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T20:40:03Z","timestamp":1783888803077,"version":"3.55.0"},"reference-count":41,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2020,7,24]],"date-time":"2020-07-24T00:00:00Z","timestamp":1595548800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2018R1A6A1A03025109"],"award-info":[{"award-number":["NRF-2018R1A6A1A03025109"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>To communicate efficiently with a prospective user, auditory interfaces are employed in mobile communication devices. Diverse sounds in different volumes are used to alert the user in various devices such as mobile phones, modern laptops and domestic appliances. These alert noises behave erroneously in dynamic noise environments, leading to major annoyances to the user. In noisy environments, as sounds can be played quietly, this leads to the improper masked rendering of the necessary information. To overcome these issues, a multi-model sensing technique is developed as a smartphone application to achieve automatic volume control in a smart phone. Based on the ambient environment, the volume is automatically controlled such that it is maintained at an appropriate level for the user. By identifying the average noise level of the ambient environment from dynamic microphone and together with the activity recognition data obtained from the inertial sensors, the automatic volume control is achieved. Experiments are conducted with five different mobile devices at various noise-level environments and different user activity states. Results demonstrate the effectiveness of the proposed application for active volume control in dynamic environments.<\/jats:p>","DOI":"10.3390\/s20154117","type":"journal-article","created":{"date-parts":[[2020,7,24]],"date-time":"2020-07-24T09:06:09Z","timestamp":1595581569000},"page":"4117","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Active Volume Control in Smart Phones Based on User Activity and Ambient Noise"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7722-2398","authenticated-orcid":false,"given":"V. D.","family":"Ambeth Kumar","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Panimalar Engineering College, Anna University, Chennai 600123, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Malathi","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Panimalar Engineering College, Anna University, Chennai 600123, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9925-8137","authenticated-orcid":false,"given":"Abhishek","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Banaras Hindu University, Varanasi 221005, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9476-3142","authenticated-orcid":false,"given":"Prakash","family":"M","sequence":"additional","affiliation":[{"name":"Karpagam College of Engineering, Anna University, Coimbatore 641032, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1542-8627","authenticated-orcid":false,"given":"Kalyana C.","family":"Veluvolu","sequence":"additional","affiliation":[{"name":"School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,24]]},"reference":[{"key":"ref_1","unstructured":"(2020, May 02). Available online: http:\/\/www.dailymail.co.uk\/health\/article-2989952\/How-technology-taking-lives-spend-time-phones-laptops-SLEEPING.html."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4231","DOI":"10.1109\/JSEN.2017.2702739","article-title":"Road Sense: Smartphone Application to Estimate Road Conditions Using Accelerometer and Gyroscope","volume":"17","author":"Allouch","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3095","DOI":"10.1109\/ACCESS.2017.2676168","article-title":"Performance Analysis of Smartphone-Sensor Behavior for Human Activity Recognition","volume":"5","author":"Chen","year":"2017","journal-title":"IEEE Access"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1109\/TST.2014.6838194","article-title":"Activity Recognition with Smartphone Sensors","volume":"19","author":"Xing","year":"2014","journal-title":"Tsinghua Sci. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1109\/JBHI.2015.2446195","article-title":"Automatic Stress Detection in Working Environments from Smartphones\u2019 Accelerometer Data: A First Step","volume":"20","author":"Osmani","year":"2016","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3142","DOI":"10.1109\/TSMC.2016.2562509","article-title":"Physical Activity Recognition from Smartphone Accelerometer Data for User Context Awareness Sensing","volume":"47","author":"Johan","year":"2017","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_7","unstructured":"Brock, D., and Martinson, E. (2006). Robotic speech presentations for individual human user\/listeners in relevant circumstances. Aurally Informed Performance: Integrating Machine Listening and Auditory Presentation in Robotic Systems, AAAI Press. AAAI Fall Symposium Technical Report."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Martinson, E., and Schultz, A. (2007, January 10\u201314). Robotic discovery of the auditory scene. Proceedings of the IEEE International Conference on Robotics and Automation, Roma, Italy.","DOI":"10.1109\/ROBOT.2007.363825"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1109\/TRO.2007.900612","article-title":"Robust Recognition of Simultaneous Speech by a Mobile Robot","volume":"23","author":"Valin","year":"2007","journal-title":"IEEE Trans. Robot."},{"key":"ref_10","first-page":"203","article-title":"Human robot Interaction\u2013A survey","volume":"1","author":"Michael","year":"2008","journal-title":"Found. Trends Hum. Comput. Interact."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1163\/016918610X493561","article-title":"Design and Implementation of Robot Audition System \u201cHARK\u201d\u2014Open Source Software for Listening to Three Simultaneous Speakers","volume":"24","author":"Nakadai","year":"2010","journal-title":"Adv. Robot."},{"key":"ref_12","unstructured":"Fleber, F.S. (2015). Voice Detection for Automatic Volume Controls and Voice Sensors. (US9224395 B2), U.S. Patent."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Paepcke, A., Soto, B., Takayama, L., Koenig, F., and Gassend, B. (2011, January 16\u201319). Yelling in the hall: Using sidetone to address a problem with mobile remote presence systems. Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, Santa Barbara, CA, USA.","DOI":"10.1145\/2047196.2047209"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Felber, F. (2011, January 2\u20134). An automatic volume control for preserving intelligibility. Proceedings of the 34th IEEE Sarnoff Symposium, Princeton, NJ, USA.","DOI":"10.1109\/SARNOF.2011.5876448"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1109\/TSMCB.2012.2219524","article-title":"Auditory Perspective Taking","volume":"43","author":"Martinson","year":"2013","journal-title":"IEEE Trans. Cybern."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Abeywardhane, J.S.D.M.D.S., de Silva, E.M.W.N., Gallanga, I.G.A.G.S., Rathnayake, L.N., and Jagath, W. (2018, January 21\u201322). Optimization of Volume & Brightness of Android Smartphone through Clustering & Reinforcement Learning. Proceedings of the IEEE International Conference on Information and Automation for Sustainability, Colombo, Srilanka.","DOI":"10.1109\/ICIAFS.2018.8913391"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LSENS.2020.2975161","article-title":"Sensors in Mobile Devices Knowledge Base","volume":"4","author":"Khokhlov","year":"2020","journal-title":"IEEE Sens. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/JIOT.2014.2388074","article-title":"Novel sampling algorithm for human Mobility Based Mobile Phone Sensing","volume":"2","author":"Thejaswini","year":"2015","journal-title":"IEEE Internet Things J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1556\/JBA.3.2014.015","article-title":"The invisible addiction: Cell-phone activities and addiction among male and female college students","volume":"3","author":"Roberts","year":"2014","journal-title":"J. Behav. Addict."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1109\/JSEN.2017.2782492","article-title":"Human Activity Classification in Smartphones using Accelerometer and Gyroscope Sensors","volume":"18","author":"Jain","year":"2018","journal-title":"IEEE Sens. J."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1306","DOI":"10.1109\/TIFS.2015.2505626","article-title":"MagPairing: Pairing Smartphones in Close Proximity using Magnetometers","volume":"11","author":"Jin","year":"2016","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1109\/TIE.2014.2334667","article-title":"Proximity Sensing Based on a Dynamic Vision Sensor for Mobile Devices","volume":"62","author":"Won","year":"2015","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Jin, R., Shi, L., Zeng, K., Pande, A., and Mohapatra, P. (2014, January 29\u201331). MagPairing: Exploiting magnetometers for pairing smartphones in close proximity. Proceedings of the IEEE Conference on Communications and Network Security, San Francisco, CA, USA.","DOI":"10.1109\/CNS.2014.6997514"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Cheng, H.C., Liu, K.C., Hsieh, C.Y., and Chan, C.T. (2017, January 13\u201317). Smartphone-based Pedestrian localization algorithm using inertial and light sensors. Proceedings of the IEEE International Conference on Applied System Innovation (ICASI), Sapporo, Japan.","DOI":"10.1109\/ICASI.2017.7988416"},{"key":"ref_25","unstructured":"(2020, May 04). Noise Level Chart. Available online: http:\/\/www.noisehelp.com\/noise-level-chart.html."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1109\/TIFS.2016.2611489","article-title":"We Can Track You if You Take the Metro: Tracking Metro Riders Using Accelerometers on Smartphones","volume":"12","author":"Hua","year":"2017","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1109\/JIOT.2016.2628938","article-title":"Enabling IoT for In-Home Rehabilitation: Accelerometer Signals Classification Methods for Activity and Movement Recognition","volume":"4","author":"Bisio","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/JBHI.2017.2688473","article-title":"Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone","volume":"22","author":"Lahdenoja","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1109\/JSEN.2014.2348552","article-title":"Three-Dimensional Magnetometer Calibration with Small Space Coverage for Pedestrians","volume":"15","author":"Wahdan","year":"2015","journal-title":"IEEE Sens. J."},{"key":"ref_30","first-page":"1","article-title":"Magnetic Subsurface Imaging Systems in a Smartphone Based on the Built-In Magnetometer","volume":"53","author":"Andriyan","year":"2017","journal-title":"IEEE Trans. Magn."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Leikanger, T., Schuss, J., and Juha, H. (November, January 30). Calibration of smartphone light sensors with a near field communication enabled reference. Proceedings of the 2016 IEEE Sensors, Orlando, FL, USA.","DOI":"10.1109\/ICSENS.2016.7808930"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Jeon, J., Kong, Y., Nam, Y., and Yim, K. (2015, January 4\u20136). An Indoor Positioning System Using Bluetooth RSSI with an Accelerometer and a Barometer on a Smartphone. Proceedings of the 10th IEEE International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), Krakow, Poland.","DOI":"10.1109\/BWCCA.2015.142"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Won, M., Zhang, S., Chekuri, A., and Son, S.H. (2016, January 1\u20134). Enabling energy-efficient driving route detection using built-in smartphone barometersensor. Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil.","DOI":"10.1109\/ITSC.2016.7795939"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Jafari, H., Li, X., Qian, L., and Chen, Y. (2015, January 20\u201322). Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors. Proceedings of the 36th IEEE Sarnoff Symposium, Newark, NJ, USA.","DOI":"10.1109\/SARNOF.2015.7324635"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Smith, J.P., and Li, X. (2016, January 20\u201323). AirSniffer: A smartphone-based sensor system for body area climate and air quality monitoring. Proceedings of the 10th International Symposium on Medical Information and Communication Technology (ISMICT), Worcester, MA, USA.","DOI":"10.1109\/ISMICT.2016.7498910"},{"key":"ref_36","unstructured":"(2020, May 07). Netroken Volume Control (Version 4.99.3). Available online: https:\/\/play.google.com\/store\/apps\/details?id=netroken.android.persistfree&hl=en_IN."},{"key":"ref_37","unstructured":"(2020, May 07). Nexoft Mobile Smart Volume Control-Auto Volume (Version 1.9). Available online: https:\/\/play.google.com\/store\/apps\/details?id=com.ceyhun.smartvolume&hl=en_IN."},{"key":"ref_38","unstructured":"Samsung Electronics, Co. Ltd. (2020, May 07). Sound Assistant (Version 3.3.08.0). Available online: https:\/\/play.google.com\/store\/apps\/details?id=com.samsung.android.soundassistant&hl=en_IN."},{"key":"ref_39","unstructured":"Li, E.Q. (2020, May 07).  Automatic Volume Control Based on Context and Location. Available online: https:\/\/patentimages.storage.googleapis.com\/3b\/56\/7a\/78f5a013c0e83c\/US20150011195A1.pdf."},{"key":"ref_40","unstructured":"Andr\u00e9, L., Boudreau, A., and Gariepy, F. (2020, May 07). Sound Volume Automatic. Available online: https:\/\/patentimages.storage.googleapis.com\/62\/36\/72\/da1a9be8366237\/US8116461.pdf."},{"key":"ref_41","unstructured":"Kenneth, L.H., Dixon, M., and James, B. (2020, May 08). Dynamic Volume Adjustment. Available online: https:\/\/patentimages.storage.googleapis.com\/71\/8a\/76\/bfa4c7c0e5f978\/US6968063.pdf."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/15\/4117\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:51:23Z","timestamp":1760176283000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/15\/4117"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,24]]},"references-count":41,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2020,8]]}},"alternative-id":["s20154117"],"URL":"https:\/\/doi.org\/10.3390\/s20154117","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,24]]}}}