AAL 音频和视频解决方案最新艺术水平 (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 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

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.

翻译：报告说明了根据音像数据最成功的AAL应用和功能的最新水平,即(一) 生活记录和自我监测,(二) 生命迹象的远程监测,(三) 情感状态识别,(四) 食物摄入监测,活动和行为识别,(五) 活动和个人援助,(六) 姿态识别,(七) 跌落检测和预防,(八) 流动性评估和弱点识别,以及(九) 认知和运动康复,报告说明了这些应用方案在科学进步、现有产品和研究项目方面的运作情况,并着重指出了公开的挑战。