{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T08:49:21Z","timestamp":1782895761386,"version":"3.54.5"},"reference-count":31,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This study evaluated a non-invasive nose-mounted accelerometer for automated detection of chewing strokes in dairy cows. Data were collected from 15 Holstein Friesians and validated against manual video annotations. Chewing strokes were identified using a peak detection algorithm applied to smoothed acceleration data. Two algorithm versions were analyzed: a raw version and a cleaned version that excluded a five-second interval during regurgitation, where no physiological chewing occurs. The cleaned version showed higher agreement with the reference method (Intraclass Correlation Coefficient [ICC] = 0.91; 95% Confidence Interval [CI]: 0.77\u20130.96) and lower error metrics (Mean Absolute Error [MAE]: 3.67; Root Mean Square Error [RMSE]: 4.72; Mean Absolute Percentage Error [MAPE]: 5.64%) compared to the raw version (ICC = 0.67; MAE: 10.00; RMSE: 11.48; MAPE: 15.27%). Both methods demonstrated that reliable detection of chewing activity is feasible using this sensor system. Automated chewing stroke detection may contribute to the assessment of rumen function, feeding behaviour, and animal welfare and may support future precision livestock farming applications by providing objective information on chewing activity.<\/jats:p>","DOI":"10.3390\/s26134148","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T08:19:02Z","timestamp":1782893942000},"page":"4148","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detection of Chewing Strokes from Jaw Movement Signals in Dairy Cows Using a Nose-Mounted Accelerometer"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1033-9628","authenticated-orcid":false,"given":"Saskia","family":"Strutzke","sequence":"first","affiliation":[{"name":"Department Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), 14469 Potsdam, Germany"},{"name":"Gouna GmbH, 14621 Sch\u00f6nwalde-Glien, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Fiske","sequence":"additional","affiliation":[{"name":"Gouna GmbH, 14621 Sch\u00f6nwalde-Glien, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0421-6250","authenticated-orcid":false,"given":"Gundula","family":"Hoffmann","sequence":"additional","affiliation":[{"name":"Department Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), 14469 Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,7,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Millen, D.D., Arrigoni, M.D.B., and Pacheco, R.D.L. (2016). Anatomy and Physiology of the Rumen. Rumenology, Springer.","DOI":"10.1007\/978-3-319-30533-2"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9917","DOI":"10.3168\/jds.2015-10548","article-title":"Short communication: Rumination and feeding behaviors differ between healthy and sick dairy cows during the transition period","volume":"99","author":"Schirmann","year":"2016","journal-title":"J. Dairy Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4762","DOI":"10.3168\/jds.2017-13706","article-title":"Invited review: Current perspectives on eating and rumination activity in dairy cows","volume":"101","author":"Beauchemin","year":"2018","journal-title":"J. Dairy Sci."},{"key":"ref_4","unstructured":"Holtgrew-Bohling, K. (2024). Large Animal Clinical Procedures for Veterinary Technicians, Elsevier Health Sciences. [5th ed.]."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Hoffmann, G., Strutzke, S., Fiske, D., Heinicke, J., and Mylostyvyi, R. (2024). A New Approach to Recording Rumination Behavior in Dairy Cows. Sensors, 24.","DOI":"10.2139\/ssrn.4735750"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.3168\/jds.S0022-0302(97)76074-0","article-title":"Relationship between fermentation acid production in the rumen and the requirement for physically effective fiber","volume":"80","author":"Allen","year":"1997","journal-title":"J. Dairy Sci."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Brandstetter, V., Neubauer, V., Humer, E., Kroger, I., and Zebeli, Q. (2019). Chewing and Drinking Activity during Transition Period and Lactation in Dairy Cows Fed Partial Mixed Rations. Animals, 9.","DOI":"10.3390\/ani9121088"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"7248","DOI":"10.3168\/jds.2015-9463","article-title":"Differential rumination, intake, and enteric methane production of dairy cows in a pasture-based automatic milking system","volume":"98","author":"Watt","year":"2015","journal-title":"J. Dairy Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/0377-8401(90)90143-V","article-title":"Chewing activity of ruminants as a measure of physical structure\u2014A review of factors affecting it","volume":"27","author":"Andries","year":"1990","journal-title":"Anim. Feed. Sci. Technol."},{"key":"ref_10","first-page":"145","article-title":"Investigations on factors with influence on automatically measured duration of rumination in cows","volume":"86","author":"Hoy","year":"2014","journal-title":"Zuechtungskunde"},{"key":"ref_11","unstructured":"Hvelplund, T., and N\u00f8rgaard, P. (2003). Cattle Nutrition and Physiology-Volume 1: Nutrient Metabolism and Feed Evaluation (Kv\u00e6gets Ern\u00e6ring og Fysiologi. Bind 1: N\u00e6ringsstofoms\u00e6tning og Fodervurdering), Danmarks JordbrugsForskning."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.biosystemseng.2020.02.006","article-title":"Modelling of heat stress in a robotic dairy farm. Part 3: Rumination and milking performance","volume":"199","author":"Ji","year":"2020","journal-title":"Biosyst. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3635","DOI":"10.3168\/jds.2013-7709","article-title":"Rumination time around calving: An early signal to detect cows at greater risk of disease","volume":"97","author":"Calamari","year":"2014","journal-title":"J. Dairy Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"148","DOI":"10.3168\/jds.2014-8025","article-title":"Feeding characteristics and rumination time of dairy cows around estrus","volume":"98","author":"Pahl","year":"2015","journal-title":"J. Dairy Sci."},{"key":"ref_15","first-page":"273","article-title":"A review on the use of sensors to monitor cattle jaw movements and behavior when grazing","volume":"20","author":"Lebeau","year":"2016","journal-title":"Base"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.compag.2017.02.021","article-title":"System specification and validation of a noseband pressure sensor for measurement of ruminating and eating behavior in stable-fed cows","volume":"136","author":"Zehner","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.compag.2014.06.010","article-title":"Technical note: Evaluation of a new system for measuring feeding behavior of dairy cows","volume":"108","author":"Sundrum","year":"2014","journal-title":"Comput. Electron. Agric."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.compag.2013.01.001","article-title":"Automatic recognition and classification of cattle chewing activity by an acoustic monitoring method with a single-axis acceleration sensor","volume":"92","author":"Tani","year":"2013","journal-title":"Comput. Electron. Agric."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Braun, U., Trosch, L., Nydegger, F., and Hassig, M. (2013). Evaluation of eating and rumination behaviour in cows using a noseband pressure sensor. BMC Vet. Res., 9.","DOI":"10.1186\/1746-6148-9-164"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2746","DOI":"10.3168\/jds.S0022-0302(89)79418-2","article-title":"An Automatic System for Quantification of Eating and Ruminating Activities of Dairy Cattle Housed in Stalls","volume":"72","author":"Beauchemin","year":"1989","journal-title":"J. Dairy Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1046\/j.1365-2494.2000.00203.x","article-title":"Acoustic measurement of intake and grazing behaviour of cattle","volume":"55","author":"Laca","year":"2001","journal-title":"Grass Forage Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.biosystemseng.2012.08.005","article-title":"Automatic recognition of jaw movements in free-ranging cattle, goats and sheep, using acoustic monitoring","volume":"114","author":"Navon","year":"2013","journal-title":"Biosyst. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"101889","DOI":"10.1016\/j.atech.2026.101889","article-title":"Applications and trends of accelerometer and artificial intelligence techniques in livestock production: A scoping review","volume":"13","author":"Amorim","year":"2026","journal-title":"Smart Agric. Technol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"690","DOI":"10.3168\/jds.2018-14999","article-title":"Technical note: Development of a noninvasive respiration rate sensor for cattle","volume":"102","author":"Strutzke","year":"2019","journal-title":"J. Dairy Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1177\/096228029900800204","article-title":"Measuring agreement in method comparison studies","volume":"8","author":"Bland","year":"1999","journal-title":"Stat. Methods Med. Res."},{"key":"ref_26","unstructured":"Zehner, N., Niederhauser, J.J., Nydegger, F., Grothmann, A., Keller, M., Hoch, M., Haeussermann, A., and Schick, M. (2012, January 8\u201312). Validation of a new health monitoring system (RumiWatch) for combined automatic measurement of rumination, feed intake, water intake and locomotion in dairy cows. Proceedings of the International Conference of Agricultural Engineering (CIGR-AgEng 2012), Valencia, Spain."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Ding, L., Lv, Y., Jiang, R., Zhao, W., Li, Q., Yang, B., Yu, L., Ma, W., Gao, R., and Yu, Q. (2022). Predicting the Feed Intake of Cattle Based on Jaw Movement Using a Triaxial Accelerometer. Agriculture, 12.","DOI":"10.3390\/agriculture12070899"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Ekesbo, I., and Gunnarsson, S. (2018). Cattle (Bos taurus). Farm Animal Behaviour: Characteristics for Assessment of Health and Welfare, CABI. [2nd ed.].","DOI":"10.1079\/9781786391391.0000"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"524","DOI":"10.11591\/ijai.v13.i1.pp524-532","article-title":"Deep learning-based classification of cattle behavior using accelerometer sensors","volume":"13","author":"Falih","year":"2024","journal-title":"IAES Int. J. Artif. Intell. (IJ-AI)"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"109999","DOI":"10.1016\/j.compag.2025.109999","article-title":"Validation of a Time-Distributed residual LSTM\u2013CNN and BiLSTM for equine behavior recognition using collar-worn sensors","volume":"231","author":"Kirsch","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Martono, N.P., Sawado, R., Nonaka, I., Terada, F., and Ohwada, H. (2023). Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach. Knowledge Management and Acquisition for Intelligent Systems; Lecture Notes in Computer Science, Springer Nature.","DOI":"10.1007\/978-981-99-7855-7_5"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/13\/4148\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T08:34:52Z","timestamp":1782894892000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/13\/4148"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,1]]},"references-count":31,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2026,7]]}},"alternative-id":["s26134148"],"URL":"https:\/\/doi.org\/10.3390\/s26134148","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,1]]}}}