Mielke Matthias, Brueck Rainer
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5008-11. doi: 10.1109/EMBC.2015.7319516.
Auditory cues provide people with information about events outside of their field of view and can so help detecting potential hazards. People with severe hearing loss, i.e. hard of hearing, deafened, and deaf people, often cannot or can only partially benefit from auditory cues, which can lead to a lowered quality of life. Even though hearing aids are available, not everyone can benefit from them. To provide deaf people (i.e. deaf, deafened, and hard of hearing) with auditory cues from environmental sounds different assistive devices have been introduced, usually for use at home. A flexible and mobile assistive device basing on a smartphone is presented in this contribution. It detects and recognizes acoustic events by analysing the acoustic environment of the user. By using pattern recognition algorithms the user can define the sounds that should be recognised by the device. Warning sounds occurring in road traffic were chosen as demonstrator. Interviews were conducted with deaf people to evaluate the concept and to gain more insights into the user needs and expectations.
听觉线索为人们提供其视野范围之外事件的信息，有助于检测潜在危险。重度听力损失者，即听力障碍者、聋化者和聋人，往往无法或只能部分受益于听觉线索，这可能导致生活质量下降。尽管有助听器，但并非每个人都能从中受益。为了向聋人（即聋人、聋化者和听力障碍者）提供来自环境声音的听觉线索，人们引入了各种不同的辅助设备，通常用于家庭使用。本文介绍了一种基于智能手机的灵活移动辅助设备。它通过分析用户的声学环境来检测和识别声学事件。通过使用模式识别算法，用户可以定义设备应识别的声音。选择道路交通中出现的警告声音作为演示示例。对聋人进行了访谈，以评估该概念，并更深入地了解用户需求和期望。
