Cardiac pulse detection in BCG signals implemented on a regular classroom chair integrated to an emotional and learning model for personalization of learning resources

A tolerant algorithm for cardiac pulses characterization in ballistocardiography signals in a non-invasive system

“…Failover is an important fault tolerance function on critical systems that rely on constant accessibility, by this reason failover will be integrated in this implementation as a method of Fault-Tolerant. As a first application, the algorithm will be integrated to a system for the recognition of emotions related to learning processes, together with a cognitive model for the personalization of learning contents [15].…”

“…The acquisition system is based on the system designed by Ramirez et al (2010) [15]. The system used to collect the BCG signals is composed by a chair with an Electro-Mechanical Film (EMFi) sensor installed on the seat, a precision instrumentation amplifier AD624AD, a filtering system, a National Instrument Data Acquisition Card USB-6008, and a computer with the processing software that records the signal obtained by the sensors and detects heartbeats automatically.…”

A General Knowledge Representation Model for the Acquisition of Skills and Concepts

“…• A virtual learning environment (Dillenbourg, 2002) with adaptive capabilities, such as presented in , where personalization of learning resources is the main concern. The learning environment ought to be based upon pervasive computing (Hanssman et al, 2003) where workbenches, which are currently being developed (Ramirez, 2010), and regular accessories: earrings, wristbands, caps, among others, are used as non-intrusive sensors to provide feedback on the users physical and emotional condition used to personalize the environment. • A definition of processes including rules and algorithms that allows a rich and flexible interaction between the elements of the computational representation of concepts and skill, and the virtual learning environment.…”

A General Knowledge Representation Model for the Acquisition of Skills and Concepts

“…• A virtual learning environment (Dillenbourg, Schneider, & Synteta, 2002) or, intelligent learning environment (Brusilovsky, 1994;Brusilovsky, 2001) with adaptive capabilities, such as presented in Torres, Doredo, Ramirez, Valdes, and Lugo (2009), where personalisation of learning resources is the main concern. The learning environment ought to be based upon pervasive computing (Hansmann, Merk, Nicklous, & Stober, 2003) where workbenches, which are currently being developed (Ramirez, Concha, & Valdes, 2010), and regular accessories: earrings, wristbands, caps, among others, are used as non-intrusive sensors to provide feedback on the users physical and emotional condition used to personalise the environment. • A definition of processes, including rules and algorithms, which allow a rich and flexible interaction between the elements of the computational representation of concepts and skill, and the virtual learning environment.…”