Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 59 checked references that resolve
resolves10.1109/TITB.2010.2091140Emergency Fall Incidents Detection in Assisted Living Environments Utilizing Motion, Sound, and Visual Perceptual Components
resolves10.3390/s18041272Detection of Anomalous Noise Events on Low-Capacity Acoustic Nodes for Dynamic Road Traffic Noise Mapping within an Hybrid WASN
resolves10.1111/1467-9280.00483A Prospective Study of Some Effects of Aircraft Noise on Cognitive Performance in Schoolchildren
resolves10.1289/ehp.1103448Transportation Noise and Blood Pressure in a Population-Based Sample of Adults
resolves10.1289/ehp.01109409Annoyance from transportation noise: relationships with exposure metrics DNL and DENL and their confidence intervals.
resolves10.3390/ijerph15020208Annoyance Judgment and Measurements of Environmental Noise: A Focus on Italian Secondary Schools
resolves10.3390/s17040854homeSound: Real-Time Audio Event Detection Based on High Performance Computing for Behaviour and Surveillance Remote Monitoring
resolves10.1016/j.ijmedinf.2013.03.007Framing the evidence for health smart homes and home-based consumer health technologies as a public health intervention for independent aging: A systematic review
resolves10.3390/app7090877A Low Cost Wireless Acoustic Sensor for Ambient Assisted Living Systems
resolves10.3390/s17102224An Acoustic Signal Enhancement Method Based on Independent Vector Analysis for Moving Target Classification in the Wild
resolves10.3233/AIS-160386On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes1
resolves10.1109/SENSORCOMM.2010.34Autonomy Suitability of Wireless Modules for Ambient Assisted Living Applications: WiFi, Zigbee, and Proprietary Devices
resolves10.1016/j.future.2017.02.014Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach
resolves10.1109/WF-IoT.2015.7389141Secure end-to-end communication for constrained devices in IoT-enabled Ambient Assisted Living systems
resolves10.3390/data2020018Towards Automatic Bird Detection: An Annotated and Segmented Acoustic Dataset of Seven Picidae Species
resolves10.1109/MIS.2015.43Using RFID to Detect Interactions in Ambient Assisted Living Environments
resolves10.3233/AIS-2011-0110Video based technology for ambient assisted living: A review of the literature
resolves10.3390/app6050143A Review of Physical and Perceptual Feature Extraction Techniques for Speech, Music and Environmental Sounds
The 24 references without a DOI — listed, not checked
no DOI — not checkedSuzman, R., and Beard, J. (2015). Global Health and Aging—Living Longer, National Institute on Aging.
no DOI — not checkedCobos, M., Perez-Solano, J., and Berger, L. (2016). Acoustic-based technologies for ambient assisted living. Introduction to Smart eHealth and eCare Technologies, Taylor & Francis Group.
no DOI — not checkedTemko, A. (2007). Acoustic Event Detection and Classification. [Ph.D. Thesis, Universitat Politècnica de Catalunya].
no DOI — not checkedVuegen, L., Van Den Broeck, B., Karsmakers, P., Van Hamme, H., and Vanrumste, B. (2013, January 21–22). Automatic monitoring of activities of daily living based on real-life acoustic sensor data: A preliminary study. Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies, Grenoble, France.
no DOI — not checkedBartalucci, C., Borchi, F., Carfagni, M., Furferi, R., Governi, L., Lapini, A., Bellomini, R., Luzzi, S., and Nencini, L. (2018, January 27–31). The smart noise monitoring system implemented in the frame of the Life MONZA project. Proceedings of the Euronoise, Hersonissos, Greece.
no DOI — not checkedGlobal noise score indicator for classroom evaluation of acoustic performances in LIFE GIOCONDA project
no DOI — not checkedE-healthcare at an experimental welfare techno house in Japan
no DOI — not checkedThe ubiquitous home
no DOI — not checkedNVIDIA (2016, May 15). JETSON TK1. Available online: http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html.
no DOI — not checkedComission, E. (2017, February 21). Active and Assisted Living Programme. ICT for Ageing Well. Available online: http://www.aal-europe.eu/.
no DOI — not checkedEllis, D. (2001). Detecting alarm sounds. Consistent Reliable Acoustic Cues for Sound Analysis: One-Day Workshop: Aalborg, Denmark, Sunday, September 2nd, 2001, Department of Electrical Engineering, Columbia University.
no DOI — not checkedSmart items, fog and cloud computing as enablers of servitization in healthcare
no DOI — not checkedCao, Y., Chen, S., Hou, P., and Brown, D. (2015, January 12–14). FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation. Proceedings of the IEEE International Conference on Networking, Architecture and Storage (NAS), Chongqing, China.
no DOI — not checkedAlsina-Pagès, R.M., Navarro, J., and Casals, E. (2016, January 4–6). Automated Audio Data Monitoring for a Social Robot in Ambient Assisted Living Environments. Proceedings of the 2nd International Conference on Social Robots in Therapy and Education, Barcelona, Spain.
no DOI — not checkedKarpf-Cogan, D. (2010). Distributed Wireless Sensor Networks (WSNs) Bottleneck Detection. [Ph.D. Thesis, Hebrew University of Jerusalem].
no DOI — not checkedKrishnamachari, L., Estrin, D., and Wicker, S. (2002, January 2–5). The impact of data aggregation in wireless sensor networks. Proceedings of the 22nd International Conference on Distributed Computing Systems Workshops, Vienna, Austria.
no DOI — not checkedLeake, D.B. (1996). CBR in context: The present and future. Case-Based Reasoning, Experiences, Lessons & Future Directions, MIT Press.
no DOI — not checkedKingma, D.P., and Ba, J. (arXiv, 2014). Adam: A method for stochastic optimization, arXiv.
no DOI — not checkedStager, M., Lukowicz, P., and Troster, G. (November, January 31). Implementation and evaluation of a low-power sound-based user activity recognition system. Proceedings of the Eighth International Symposium on Wearable Computers, Arlington, VA, USA.
no DOI — not checkedDistance measures for speech recognition, psychological and instrumental
no DOI — not checkedValero, X., and Alías, F. (2012, January 27–31). Gammatone wavelet features for sound classification in surveillance applications. Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, Romania.
no DOI — not checkedValero, X., Alías, F., Oldoni, D., and Botteldooren, D. (2012, January 19–22). Support vector machines and self-organizing maps for the recognition of sound events in urban soundscapes. Proceedings of the 41st International Congress and Exposition on Noise Control Engineering, New York, NY, USA.
no DOI — not checkedSensor data fusion for activity monitoring in ambient assisted living environments
no DOI — not checkedMalhotra, P., Vig, L., Shroff, G., and Agarwal, P. (2015). Long short term memory networks for anomaly detection in time series. Proceedings, Presses universitaires de Louvain.
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