Sight is an important sensory input for humans to navigate their surrounding environment
independently. Tasks that are simple for the sighted are often difficult for a visually impaired …

Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

Wireless indoor localization has attracted growing research interest in the mobile computing
community for the last decade. Various available indoor signals, including radio frequency …

Image-based indoor localization has aroused much interest recently because it requires no
infrastructure support. Previous approaches on image-based localization, due to their …

Mobile crowd sensing (MCS) is an emerging sensing paradigm that can be applied to build
various smart city and IoT applications. In an MCS application, the participation level of …

The fight against the COVID-19 pandemic has highlighted the importance and benefits of
recommending paths that reduce the exposure to and the spread of the SARS-CoV-2 …

Abstract Mobile Crowd Sensing is an emerging paradigm, in which a large number of
participants are involved to complete a sensing task under a certain incentive mechanism …

Spaces are continuous realms where human beings freely navigate, such as from indoor to
outdoor and optionally to another indoor space. However, currently available data models to …

Several assistive technology solutions, targeting the group of Blind and Visually Impaired
(BVI), have been proposed in the literature utilizing multi-sensor data fusion techniques …

The rapid development of mobile computing has prompted indoor navigation to be one of
the most attractive and promising applications. Conventional designs of indoor navigation …