arXiv 2207.014872022-07-05cs.CYcs.AIcs.HCcs.SDeess.AS

基于音频和视频的AAL解决方案的最新技术水平

State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Peerez, Sara Colantonio, Stefania Cristina, Vladimir Desp… 展开作者

Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Peerez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank

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摘要：

该报告说明了基于音频和视频数据的最成功的AAL应用和功能的最新技术水平，即（i）生命记录和自我监测，（ii）生命体征的远程监测，（iii）情绪状态识别，（iv）食物摄入监测，活动和行为识别，（v）活动和个人协助，（vi）手势识别，（vii）跌倒检测和预防，（viii）移动性评估和虚弱识别，以及（ix）认知和运动康复。对于这些应用场景，该报告说明了科学进步、可用产品和研究项目的现状。还强调了开放的挑战。

英文摘要：

The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。