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However, for many applications, the ability to accurately recognize moving subjects with movement-distorted facial features is required. This dataset includes videos of multiple subjects, taken under multiple lighting brightness and temperature conditions, which can be used to train and evaluate the performance of facial recognition systems.<\/jats:p>","DOI":"10.3390\/data4030130","type":"journal-article","created":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T03:14:41Z","timestamp":1567998881000},"page":"130","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Video Recordings of Male Face and Neck Movements for Facial Recognition and Other Purposes"],"prefix":"10.3390","volume":"4","author":[{"given":"Collin","family":"Gros","sequence":"first","affiliation":[{"name":"Department of Computer Science, Texas Tech University, Lubbock, TX 79409, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9821-2858","authenticated-orcid":false,"given":"Jeremy","family":"Straub","sequence":"additional","affiliation":[{"name":"Department of Computer Science, North Dakota State University, Fargo, ND 58108, USA"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,6]]},"reference":[{"key":"ref_1","unstructured":"Denimarck, P., Bellis, D., and McAllister, C. 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