The sources of data, as well as the target services, will be mostly built over small resource-constrained devices, like smartphones, IoT sensors, wearable devices, data centers, backbone networks and so on. Here, we focus on the problems in the subareas of (i) Sensing, (ii) Affective Computing, (iii) Smart Computing and (iv) Transport.
In Affective Computing, different modalities, such as speech, facial expressions, physiological properties, smartphone usage patterns, and their combinations, are applied to detect the affective states of a user. In this project, we explore different challenges of developing smartphone based emotion detection application like modality selection, influence of Experience Sampling Method (ESM) on emotion detection, simplifying […]
In academic institutions and various other organizations, there is a huge diversity in activities performed by different individuals. These activities if tracked using can arrive as a vital source of information that can be used for developing various services. These services can be of different granularities concerning the final output. It can be a small […]
Internet of things based smart applications has occupied a considerable place in our everyday life. They are expected to understand human activities and requirements in the recent future and thus assist in addressing the problem of elderly care, young infants, and patients requiring postoperative care. Especially, smart homes are equipped with a various number of […]