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Artículos de revistas sobre el tema "Home video"

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Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 19 de febrero de 2022

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1

Meyer, Hugo, Peter Wei y Xiaofan Jiang. "Intelligent Video Highlights Generation with Front-Camera Emotion Sensing". Sensors 21, n.º 4 (3 de febrero de 2021): 1035. http://dx.doi.org/10.3390/s21041035.

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In this paper, we present HOMER, a cloud-based system for video highlight generation which enables the automated, relevant, and flexible segmentation of videos. Our system outperforms state-of-the-art solutions by fusing internal video content-based features with the user’s emotion data. While current research mainly focuses on creating video summaries without the use of affective data, our solution achieves the subjective task of detecting highlights by leveraging human emotions. In two separate experiments, including videos filmed with a dual camera setup, and home videos randomly picked from Microsoft’s Video Titles in the Wild (VTW) dataset, HOMER demonstrates an improvement of up to 38% in F1-score from baseline, while not requiring any external hardware. We demonstrated both the portability and scalability of HOMER through the implementation of two smartphone applications.

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2

Ferrerallo, Debi. "Video Review: The Baby Care Home Video". Journal of Human Lactation 19, n.º 2 (mayo de 2003): 215. http://dx.doi.org/10.1177/0890334403192029.

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3

Morgan, Beverly. "Video Review: Coming Home". Journal of Human Lactation 13, n.º 2 (junio de 1997): 168. http://dx.doi.org/10.1177/089033449701300231.

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4

Kaundal, Amardeep, V. Hegde, H. Khan y Holger Allroggen. "Home video EEG telemetry". Practical Neurology 21, n.º 3 (30 de marzo de 2021): 212–15. http://dx.doi.org/10.1136/practneurol-2020-002910.

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Long-term electroencephalogram monitoring is often used to help distinguish epileptic from dissociative (non-epileptic) seizures. Home video telemetry now offers many of the benefits in diagnosis previously available only with inpatient video telemetry, which is usually regarded as the ‘gold standard’. Here, we describe recent developments in home video telemetry and how we undertake this procedure in our unit.

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5

Relieu, Marc, Moustafa Zouinar y Natalia La Valle. "At Home with Video Cameras". Home Cultures 4, n.º 1 (marzo de 2007): 45–68. http://dx.doi.org/10.2752/174063107780129707.

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6

Greco, Alan J. y D. Michael Fields. "Home Video Ordering for Groceries". Journal of Food Products Marketing 1, n.º 2 (11 de junio de 1993): 23–42. http://dx.doi.org/10.1300/j038v01n02_03.

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7

Stage, Corey. "Video Review: Names...from home". American Journal of Hospice and Palliative Medicine® 12, n.º 1 (enero de 1995): 2. http://dx.doi.org/10.1177/104990919501200103.

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8

&NA;, &NA;. "NURSING HOME VISITS VIA VIDEO". AJN, American Journal of Nursing 86, n.º 12 (diciembre de 1986): 1324. http://dx.doi.org/10.1097/00000446-198612000-00004.

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9

Halstead, Helen L. "Home Care Companion Video Series". Journal of Gerontological Nursing 26, n.º 10 (1 de octubre de 2000): 35. http://dx.doi.org/10.3928/0098-9134-20001001-07.

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10

Yamazaki, H., D. Ishiguro, Y. Nakatake, Y. Minagawa, Y. Honda y F. Yatsuboshi. "A home video bus system". IEEE Transactions on Consumer Electronics 34, n.º 3 (1988): 728–35. http://dx.doi.org/10.1109/30.20177.

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11

Schuster, Amy M. y Elizabeth G. Hunter. "Video Communication With Cognitively Intact Nursing Home Residents: A Scoping Review". Journal of Applied Gerontology 38, n.º 8 (29 de mayo de 2017): 1185–96. http://dx.doi.org/10.1177/0733464817711962.

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Limited research exists examining video communication among cognitively intact nursing home residents to connect with family. This scoping review evaluated existing literature for video communication usage with nursing home residents, family, and nursing homes. A comprehensive search was completed using PubMed and EBSCOhost (including AgeLine, CINAHL, and PsycINFO) between 1972 and 2016 to locate English-language articles. The analysis identified five eligible studies (four involved an intervention, one assessed family views) meeting inclusion criteria. Findings included, seeing family members separated by distance, seeing other parts of their life, and visually monitoring resident’s health. Participants described frustration with technology limitations, such as video or audio lag. Current literature does not show a comprehensive assessment of video communication usage for residents, family, and nursing homes. Future studies should address the complexity of the intersection of the person, nursing home, and families in terms of potential benefits and capability of video communication use with residents.

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12

Sävenstedt, Stefan, Christine Brulin y P.-O. Sandman. "Family members' narrated experiences of communicating via video-phone with patients with dementia staying at a nursing home". Journal of Telemedicine and Telecare 9, n.º 4 (1 de agosto de 2003): 216–20. http://dx.doi.org/10.1258/135763303322225544.

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We studied the experience of family members who communicated via video-phones with elderly demented patients who were either staying at a home for temporary respite care or living in a nursing home. The study was based on qualitative data from seven interviews. The interviewees each had three or more months' experience with a video-phone. The open interviews were transcribed. Content analysis showed that video-phone conversations made the relatives of patients at nursing homes more involved in the caring process and that conversation via the video-phone was a different way of communicating. Video-phone conversations with demented patients were in some cases more focused and of better quality than face-to-face conversations. In most cases the video-phone conversations required the assistance of staff at the home in order to be meaningful. Video-phones have the potential to become useful tools for family members caring for elderly relatives.

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13

Hao, Ruohong, Bingjia Shao y Rong Ma. "Impacts of Video Display on Purchase Intention for Digital and Home Appliance Products—Empirical Study from China". Future Internet 11, n.º 11 (24 de octubre de 2019): 224. http://dx.doi.org/10.3390/fi11110224.

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Rapid online trading expansion and the bloom of internet technologies has raised the importance of effective product video presentations for online retailers. This article developed a model for the impacts of video presentations on purchase intention for digital and home appliance products. Four group experiments were designed, and empirical tests were performed. This research found that presenting videos on how to use digital and home appliance products increased purchase intention by raising the information gained by customers. Meanwhile, video tutorial information had insignificant effects related to the knowledge and experience of customers.

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14

Yanagisawa, Eiji y Roy D. Carlson. "Telescopic video-otoscopy using a compact home video color camera". Laryngoscope 97, n.º 11 (noviembre de 1987): 1350–55. http://dx.doi.org/10.1288/00005537-198711000-00020.

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15

Giordano, A., G. Ramponi y S. Carrato. "H.263-based video coder for home-produced video sequences". IEEE Transactions on Consumer Electronics 47, n.º 1 (2001): 117–26. http://dx.doi.org/10.1109/30.920428.

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16

Yi, Chun y Xiqiang Feng. "Home Interactive Elderly Care Two-Way Video Healthcare System Design". Journal of Healthcare Engineering 2021 (21 de enero de 2021): 1–11. http://dx.doi.org/10.1155/2021/6693617.

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This paper explores and analyses the interactive home geriatric two-way video health care system, investigates and analyses the daily lives and behaviours of the elderly in their homes through research interviews, obtains the main needs of the elderly population in their lives, as well as their cognitive and behavioural characteristics, and proposes four service function modules for the elderly in their homes; then, combining service design and interaction design theory, we propose the following four service modules for the elderly in their homes. Given the design methods and processes of the intelligent service system for the elderly at home as well as the interface interaction design principles on the three levels of vision, interaction, and reflection, the intelligent service system platform for the elderly at home was constructed, the interaction design of the mobile device terminal software of the service system platform practiced in the form of APP, and the eye-movement experiment method and fuzzy hierarchical analysis were applied to the design of the intelligent service system for the elderly at home from qualitative and quantitative perspectives. The thesis study provides a new way of thinking to design and provide intelligent service system products for the elderly living at home, which is an important contribution to society’s care for the elderly and their quality of life. The key features of the human skeleton are extracted from the model of abnormal leaning and falling behaviour of the elderly, and the SVM machine learning method is used to classify and identify the data, which enables the identification of the abnormal behaviour of the elderly at home with an accuracy of 97%.

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17

Cooharojananone, Nagul y Kiyoharu Aizawa. "Home Video Summarization by Shot Characteristics". Journal of the Institute of Image Information and Television Engineers 58, n.º 6 (2004): 846–49. http://dx.doi.org/10.3169/itej.58.846.

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18

Mwenge, B., A. Brion, G. Uguccioni y I. Arnulf. "Sleepwalking: long-term home video monitoring". Sleep Medicine 14, n.º 11 (noviembre de 2013): 1226–28. http://dx.doi.org/10.1016/j.sleep.2013.04.027.

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19

Dipio, Dominica. "Religion in Nigerian Home Video Films". Westminster Papers in Communication and Culture 4, n.º 1 (1 de febrero de 2007): 65. http://dx.doi.org/10.16997/wpcc.74.

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20

Achanta, R. S. V., Wei-Qi Yan y M. S. Kankanhalli. "Modeling intent for home video repurposing". IEEE Multimedia 13, n.º 1 (enero de 2006): 46–55. http://dx.doi.org/10.1109/mmul.2006.12.

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21

Peters, Jack. "Video Cameras in Nursing Home Care". Journal of the American Medical Directors Association 2, n.º 1 (enero de 2001): 49–50. http://dx.doi.org/10.1016/s1525-8610(04)70158-9.

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22

Kuster, Claudia, Tiberiu Popa, Jean-Charles Bazin, Craig Gotsman y Markus Gross. "Gaze correction for home video conferencing". ACM Transactions on Graphics 31, n.º 6 (noviembre de 2012): 1–6. http://dx.doi.org/10.1145/2366145.2366193.

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23

Yule, Valerie. "Take-home video for adult literacy". International Review of Education 42, n.º 1-3 (1996): 187–203. http://dx.doi.org/10.1007/bf00597965.

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24

Zhang, Junge, Yanhu Shan y Kaiqi Huang. "ISEE Smart Home (ISH): Smart video analysis for home security". Neurocomputing 149 (febrero de 2015): 752–66. http://dx.doi.org/10.1016/j.neucom.2014.08.002.

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25

Needs, Sarah H., Stephanie P. Bull, Josefina Bravo, Sue Walker, Gemma Little, Julie Hart y Alexander D. Edwards. "Remote videolink observation of model home sampling and home testing devices to simplify usability studies for point-of-care diagnostics". Wellcome Open Research 5 (21 de julio de 2020): 174. http://dx.doi.org/10.12688/wellcomeopenres.16105.1.

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Both home sample collection and home testing using rapid point-of-care diagnostic devices can offer benefits over attending a clinic/hospital to be tested by a healthcare professional. Usability is critical to ensure that in-home sampling or testing by untrained users does not compromise analytical performance. Usability studies can be laborious and rely on participants attending a research location or a researcher visiting homes; neither has been appropriate during COVID-19 outbreak control restrictions. We therefore developed a remote research usability methodology using videolink observation of home users. This avoids infection risks from home visits and ensures the participant follows the test protocol in their home environment. In this feasibility study, volunteers were provided with models of home blood testing and home blood sampling kits including a model lancet, sampling devices for dried blood spot collection, and model lateral flow device. After refining the study protocol through an initial pilot (n = 7), we compared instructions provided either as written instructions (n = 5), vs addition of video instructions (n = 5), vs written and video instructions plus videolink supervision by the researcher (n = 5). All users were observed via video call to define which test elements could be assessed remotely. All 22 participants in the study accessed the video call and configured their videolink allowing the researcher to clearly observe all testing tasks. The video call allowed the researcher to assess distinct errors during use including quantitative (volume of blood) and qualitative (inaccurate interpretation of results) errors many of which could compromise test accuracy. All participants completed the tasks and returned images of their completed tests (22/22) and most returned completed questionnaires (20/22). We suggest this remote observation via videolink methodology is a simple, rapid and powerful methodology to assess and optimise usability of point-of-care testing methods in the home setting.

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26

Przybylo, Jaromir, Joanna Grabska-Chrzastowska y Przemyslaw Korohoda. "Low-Cost Scalable Home Video Surveillance System". Image Processing & Communications 19, n.º 2-3 (1 de septiembre de 2014): 51–58. http://dx.doi.org/10.1515/ipc-2015-0010.

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Abstract Automated and intelligent video processing and analysis systems are becoming increasingly popular in video surveillance. Such systems must meet a number of requirements, such as threat detection and real-time video recording. Furthermore, they cannot be expensive and must not consume too much energy because they have to operate continuously. The work presented here focuses on building a home video surveillance system matching the household budget and possibly making use of hardware available in the house. Also, it must provide basic functionality (such as video recording and detecting threats) all the time, and allow for a more in-depth analysis when more computing power be available.

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27

Carlson, Sophie, Rosalind H. Kandler, David Moorhouse, Athi Ponnusamy, Santosh R. Mordekar y James J. P. Alix. "Home video telemetry in children: A comparison to inpatient video telemetry". Seizure 61 (octubre de 2018): 209–13. http://dx.doi.org/10.1016/j.seizure.2018.08.028.

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28

Gately, Megan. "CAREGIVER EXPERIENCE OF TELEHEALTH-DELIVERED HOME SAFETY EVALUATIONS". Innovation in Aging 3, Supplement_1 (noviembre de 2019): S243. http://dx.doi.org/10.1093/geroni/igz038.912.

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Abstract People with dementia are living in the community, necessitating in-home supports for their day-to-day needs. Given geriatrics work force shortages, innovative strategies that increase the reach of extant providers while maintaining quality are needed. Home-based video telehealth may increase access to specialty care such as a dementia-focused home safety evaluation by an occupational therapist; however, little is known about the technological demands and caregiver experience of a home safety evaluation delivered by telehealth. Our study employed video telehealth to deliver a dementia-focused home safety evaluation compared to in-person evaluation for caregivers (n=10) of veterans with dementia. Most video visits encountered technological problems. Caregiver experience between the video and in-person evaluations differed. Our findings reflect the highly dynamic, complex nature of in-home video telehealth which requires maximal collaboration with caregivers. By explicating the resource demands and potential burden of video telehealth for caregivers, development of effective in-home telehealth evaluation is enhanced

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29

Williams, Kristine N. y Clarissa Shaw. "NOT READY FOR PRIME TIME: A FAILED STUDY TESTING A TECHNOLOGICAL INTERVENTION IN NURSING HOME CARE". Innovation in Aging 3, Supplement_1 (noviembre de 2019): S771. http://dx.doi.org/10.1093/geroni/igz038.2834.

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Abstract This pilot-study tested an adaptation of a successful family caregiver telehealth support intervention in nursing home settings. The goal was to support staff in managing challenging behaviors of residents with dementia. Nursing homes were provided with an iPad mini equipped with a special application to video record staff-resident challenging care situations. Videos were uploaded to a secure site for review by dementia care experts who provided feedback to improve care. Despite efforts to engage staff, only four videos were submitted. Factors including privacy, workload, and fear of documenting abuse contributed to implementation failure. The same intervention was successfully implemented in the home setting; differences in engagement and utilization will be discussed. Understanding the unique environments of nursing home dementia care is needed to successfully implement technology-based interventions to improve care. Evaluation of factors predicting the failure of this intervention may inform future research.

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30

Doolittle, G. C., A. Yaezel, F. Otto y C. Clemens. "Hospice care using home-based telemedicine systems". Journal of Telemedicine and Telecare 4, n.º 1_suppl (marzo de 1998): 58–59. http://dx.doi.org/10.1258/1357633981931470.

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A pilot study of telenursing for terminally ill patients at home was launched as a collaborative effort between KUMC and the Kendallwood Hospice. The service used the public telephone network. Interactive video equipment was installed in the homes of three nurses who received after-hours calls and in the homes of six hospice patients living in either Kansas or Missouri. Data concerning the utilization patterns were gathered for two separate three-month periods. Patients and caregivers reported general satisfaction with the telehospice system. Both the nurses and social worker providers became comfortable about video-calls. Nurses conducted video-assessments to determine whether an ‘in person’ visit was necessary. This was particularly helpful for rural patients who were living a long way from the base station. In addition, Kendallwood serves an urban population and, in certain areas, night-time nursing visits raise safety concerns.

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31

Iskandar, Trias Pyrenia, Charisma Asri Fitrananda, Yogi Mochamad Yusuf y Rasman Sonjaya. "Video and Film Editing Training for Literacy Activist at Home Reading Kali Atas, Cicalengka". MITRA: Jurnal Pemberdayaan Masyarakat 3, n.º 1 (20 de mayo de 2019): 83–92. http://dx.doi.org/10.25170/mitra.v3i1.503.

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Videos and movies can be categorized as one of mass media in conveying messages to society. One of the important processes in video or film making is the editing process.The community service reported in this paper aimed to provide a training on film and video editing for literacy activists at the Kali Atas Community House of Reading, Cicalengka. Based on the analysis of the conditions faced by the participants, it was decided that the community service program should not only focus on increasing people's reading interest, but should also include activities that support the creativity of the community. The specific target expected from the training was to increase the participants’ creativity demonstrated by their ability to create video content that can attract people's reading interest. The film and video editing training was implemented for 3 weeks, starting from surveys, interviews, activities, evaluations, to final report. As a result of this activity, literacy activists who belonged to the Kali Atas Community House of Reading, Cicalengka, showed that they were able to produce a video that contained useful information for literacy promotion activities and this video was later uploaded on social media such as YouTube, Facebook, and Iinstagram. We recommend that this activity be continued to support literacy activities in Cicalengka such as discussion on media literacy, mural painting as well as more advanced training on film/video editing.

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32

Chalfen, Richard. "Home Video Versions of Life - Anything New?" Society for Visual Anthropology Newsletter 4, n.º 1 (marzo de 1988): 1–5. http://dx.doi.org/10.1525/var.1988.4.1.1.

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33

Taylor, Alan, Greg Morris, Joanne Pech, Stuart Rechter, Colin Carati y Michael R. Kidd. "Home Telehealth Video Conferencing: Perceptions and Performance". JMIR mHealth and uHealth 3, n.º 3 (17 de septiembre de 2015): e90. http://dx.doi.org/10.2196/mhealth.4666.

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34

Moo, Lauren R., Megan E. Gately, Zehra Jafri y Steven D. Shirk. "Home-Based Video Telemedicine for Dementia Management". Clinical Gerontologist 43, n.º 2 (20 de agosto de 2019): 193–203. http://dx.doi.org/10.1080/07317115.2019.1655510.

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35

BRISCOE, M. H., A. BYRNE, B. HICKS, D. A. CARE, P. A. WILLIAMS y G. JONES. "Interactive video teaching using a home microcomputer". Medical Education 21, n.º 1 (enero de 1987): 15–17. http://dx.doi.org/10.1111/j.1365-2923.1987.tb00508.x.

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36

Real, Brian. "Hollywood Vault: film libraries before home video". Historical Journal of Film, Radio and Television 35, n.º 2 (3 de abril de 2015): 390–92. http://dx.doi.org/10.1080/01439685.2015.1030239.

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37

Satou, Kazuhiro. "Innovative changes in home use video cameras." Journal of the Institute of Television Engineers of Japan 40, n.º 5 (1986): 376–81. http://dx.doi.org/10.3169/itej1978.40.376.

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38

Walker, Rob. "Home truths? Video production and domestic life". Visual Studies 27, n.º 3 (noviembre de 2012): 311–12. http://dx.doi.org/10.1080/1472586x.2012.642967.

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39

Czach, Liz. "There's No Place Like Home Video (review)". Moving Image 3, n.º 2 (2003): 114–16. http://dx.doi.org/10.1353/mov.2003.0026.

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40

Satomi, H., Y. Ichikawa, F. Anzai, T. Kamiishi, H. Sudoh, O. Takada y K. Satoh. "Video signal processing LSI for home VCR". IEEE Transactions on Consumer Electronics 37, n.º 3 (1991): 237–43. http://dx.doi.org/10.1109/30.85520.

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41

Laurier, Eric. "Dissolving the dog: the home made video". cultural geographies 21, n.º 4 (25 de abril de 2014): 627–38. http://dx.doi.org/10.1177/1474474014530960.

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42

Zailiang Pan y Chong-Wah Ngo. "Selective object stabilization for home video consumers". IEEE Transactions on Consumer Electronics 51, n.º 4 (noviembre de 2005): 1074–84. http://dx.doi.org/10.1109/tce.2005.1561827.

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43

Shilling, Teri. "Video Review: Home Before You Know It". Journal of Human Lactation 12, n.º 3 (septiembre de 1996): 256. http://dx.doi.org/10.1177/089033449601200342.

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44

Myers, Deborah. "Video Review: Home Before You Know It". Journal of Human Lactation 12, n.º 3 (septiembre de 1996): 256. http://dx.doi.org/10.1177/089033449601200343.

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45

Kato, Shiro, Masakazu Nishino, Hideki Ohtaka y Kiyokazu Hashimoto. "Digital Video Signal Processing in Home VTRs". IEEE Transactions on Consumer Electronics CE-32, n.º 3 (agosto de 1986): 372–78. http://dx.doi.org/10.1109/tce.1986.290056.

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46

Hua, X. S., L. Lu y H. J. Zhang. "Optimization-Based Automated Home Video Editing System". IEEE Transactions on Circuits and Systems for Video Technology 14, n.º 5 (mayo de 2004): 572–83. http://dx.doi.org/10.1109/tcsvt.2004.826750.

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47

Mor, Vincent, Angelo E. Volandes, Roee Gutman, Constantine Gatsonis y Susan L. Mitchell. "PRagmatic trial Of Video Education in Nursing homes: The design and rationale for a pragmatic cluster randomized trial in the nursing home setting". Clinical Trials 14, n.º 2 (9 de enero de 2017): 140–51. http://dx.doi.org/10.1177/1740774516685298.

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Background/Aims Nursing homes are complex healthcare systems serving an increasingly sick population. Nursing homes must engage patients in advance care planning, but do so inconsistently. Video decision support tools improved advance care planning in small randomized controlled trials. Pragmatic trials are increasingly employed in health services research, although not commonly in the nursing home setting to which they are well-suited. This report presents the design and rationale for a pragmatic cluster randomized controlled trial that evaluated the “real world” application of an Advance Care Planning Video Program in two large US nursing home healthcare systems. Methods PRagmatic trial Of Video Education in Nursing homes was conducted in 360 nursing homes (N = 119 intervention/N = 241 control) owned by two healthcare systems. Over an 18-month implementation period, intervention facilities were instructed to offer the Advance Care Planning Video Program to all patients. Control facilities employed usual advance care planning practices. Patient characteristics and outcomes were ascertained from Medicare Claims, Minimum Data Set assessments, and facility electronic medical record data. Intervention adherence was measured using a Video Status Report embedded into electronic medical record systems. The primary outcome was the number of hospitalizations/person-day alive among long-stay patients with advanced dementia or cardiopulmonary disease. The rationale for the approaches to facility randomization and recruitment, intervention implementation, population selection, data acquisition, regulatory issues, and statistical analyses are discussed. Results The large number of well-characterized candidate facilities enabled several unique design features including stratification on historical hospitalization rates, randomization prior to recruitment, and 2:1 control to intervention facilities ratio. Strong endorsement from corporate leadership made randomization prior to recruitment feasible with 100% participation of facilities randomized to the intervention arm. Critical regulatory issues included minimal risk determination, waiver of informed consent, and determination that nursing home providers were not engaged in human subjects research. Intervention training and implementation were initiated on 5 January 2016 using corporate infrastructures for new program roll-out guided by standardized training elements designed by the research team. Video Status Reports in facilities’ electronic medical records permitted “real-time” adherence monitoring and corrective actions. The Centers for Medicare and Medicaid Services Virtual Research Data Center allowed for rapid outcomes ascertainment. Conclusion We must rigorously evaluate interventions to deliver more patient-focused care to an increasingly frail nursing home population. Video decision support is a practical approach to improve advance care planning. PRagmatic trial Of Video Education in Nursing homes has the potential to promote goal-directed care among millions of older Americans in nursing homes and establish a methodology for future pragmatic randomized controlled trials in this complex healthcare setting.

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48

Abellan-Abenza, Javier, Alberto Garcia-Garcia, Sergiu Oprea, David Ivorra-Piqueres y Jose Garcia-Rodriguez. "Classifying Behaviours in Videos with Recurrent Neural Networks". International Journal of Computer Vision and Image Processing 7, n.º 4 (octubre de 2017): 1–15. http://dx.doi.org/10.4018/ijcvip.2017100101.

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This article describes how the human activity recognition in videos is a very attractive topic among researchers due to vast possible applications. This article considers the analysis of behaviors and activities in videos obtained with low-cost RGB cameras. To do this, a system is developed where a video is input, and produces as output the possible activities happening in the video. This information could be used in many applications such as video surveillance, disabled person assistance, as a home assistant, employee monitoring, etc. The developed system makes use of the successful techniques of Deep Learning. In particular, convolutional neural networks are used to detect features in the video images, meanwhile Recurrent Neural Networks are used to analyze these features and predict the possible activity in the video.

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Li, Yang, Qing Hong Wu y Xue Xiao. "Based Embedded System Applications in Intelligent Home Remote Monitoring". Applied Mechanics and Materials 602-605 (agosto de 2014): 2317–20. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2317.

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With the continuous improvement of security awareness, home security has become the focus of attention. The actual demand for home video surveillance system, designed a cheap, practical, small size and low power consumption of video surveillance systems, this paper uses microprocessor S3C2440 ARM9 core as the core hardware control, embedded Linux operating system with software the control core, and cheap, generic USB camera video capture device as a front end to complete the design of a home video surveillance system.

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Manidakis, I., R. Singh, D. Amin, N. Mullatti, M. Richardson y F. Brunnhuber. "P466: Home video-telemetry (HVT) is superior to inpatient video-telemetry (VT)". Clinical Neurophysiology 125 (junio de 2014): S172—S173. http://dx.doi.org/10.1016/s1388-2457(14)50566-4.

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