Human computer interaction

Simplify Node-RED For End User Development in SeismoCloud

Networks of IoT devices often require configuration and definition of behavior by the final user. Node-RED is a flow-based programming platform commonly used for End User Development, but it requiresnetworking and protocols skills in order to be efficiently used. We add a level of abstraction to Node-REDnodes in order to allow non-skilled users to configure and control networks of IoT devices and onlineservices. We applied such abstractions to the SeismoCloud application for earthquake monitoring

A smartphone-based application using machine learning for gesture recognition. Using feature extraction and template matching via Hu image moments to recognize gestures

The rapid development of smart devices, such as smartphones and tablets, leads to new challenges and ushers in a new stage of human-computer interaction. In this context, it becomes essential to develop methods and techniques for a better and more natural interaction with these devices. In this article, we address the problem of gesture segmentation and recognition, taking into account the limited computational resources of smartphone devices.

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