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    Electrochromism: An emerging and promising approach in (bio)sensing technology

    , Article Materials Today ; Volume 50 , 2021 , Pages 476-498 ; 13697021 (ISSN) Farahmand Nejad, M. A ; Ranjbar, S ; Parolo, C ; Nguyen, E. P ; Álvarez Diduk, R ; Hormozi Nezhad, M. R ; Merkoçi, A ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Electrochromism (EC) is a unique property of certain materials that undergo an electrochemical-induced change in colouration. During the last decades, electrochromic materials (ECMs) have been applied in a variety of technologies ranging from smart windows to information displays and energy storage devices. More recently, ECMs have attracted the attention of the (bio)sensing community thanks to their ability to combine the sensitivity of electrochemical methods with the intuitive readout of optical sensors. Although still a nascent technology, EC-based sensors are on the rise with several targets (e.g. cancer biomarkers, bacteria, metabolites and pesticides), which have already been detected... 

    A context-based privacy preserving framework for wearable visual lifeloggers

    , Article 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016, 14 March 2016 through 18 March 2016 ; 2016 ; 9781509019410 (ISBN) Zarepour, E ; Hosseini, M ; Kanhere, S. S ; Sowmya, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    The ability of wearable cameras to continuously capture the first person viewpoint with minimal user interaction, has made them very attractive in many application domains. Wearable technology today is available and useful but not widely used and accepted due to various challenges mainly privacy concerns. In this paper, we introduce a novel efficient privacy-aware framework for wearable cameras that can protect all sensitive subjects such as people, objects (e.g, display screens, license plates and credit cards) and locations (e.g, bathrooms and bedrooms). It uses the contextual information obtained from the wearable's sensors and recorded images to identify the potential sensitive subjects...