Embedded Vision Systems: A Review of the Literature

Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the acceleration of various vision systems mainly on embedded devices have become widespread. The reconfigurable and parallel nature of the FPGA opens up new opportunities to speed-up computationally intensive vision and neural algorithms on embedded and portable devices. This paper presents a comprehensive review of embedded vision algorithms and applications over the past decade. The review will discuss vision based systems and approaches, and how they have been implemented on embedded devices. Topics covered include image acquisition, preprocessing, object detection and tracking, recognition as well as high-level classification. This is followed by an outline of the advantages and disadvantages of the various embedded implementations. Finally, an overview of the challenges in the field and future research trends are presented. This review is expected to serve as a tutorial and reference source for embedded computer vision systems

Designing mid-air gesture interaction with mobile devices for older adults

Aiming at contributing to advance the research in HCI for older adults by em-powering them as active creators of the interaction and designing technologies that really satisfy their values, this chapter presents a perspective on the design of effective mid-air gesture interaction with mobile technology for seniors. We intro-duce the ageing population from this perspective and describe the main character-istics of the interaction based on mid-air gestures. Finally, we propose a set of rec-ommendations for the design of mid-air gesture interaction for older adults. Such recommendations are elaborated according to research on HCI, ageing and ergo-nomic principles, combined with findings from a number of user studies we con-ducted by following effective user-centred design methods to meet older people’s needs and values