Activity Recognition with Multi-tapeFuzzy Finite Automata

Abstract

-Recognizing the activities performed by the user in an unobtrusive manner is one of the important requisites of pervasive computing. Users perform a number of activities during their day to day life.Tracking and deciding what a user is doing at a given time involves a number of challenges. The lack of a precise pattern in doing an activity at different times is one among them. The number, order, and duration of the different steps involved in an activity vary significantly, even when the activity is done by the same user at different times. To overcome these challenges, a number of simultaneous inputs have to be handled with provisions for handling variations in number, order and duration of these inputs. This paper explains how multitape fuzzy finite state automata can be used to effectively recognize human activities. The method explained is found to give good results when tested using publicly available activity datasets collected in a smart home environment.

Estimation of the probability of spontaneous synthesis of computational structures in relation to the implementation of parallel information processing

“…На использование человеком параллельных стратегий при решении различных задач указывают многие авторы психологических исследований [Popov et al, 2010;Kant, 2012;Karamath, Amalarethinam, 2013;Fischer, Plessow, 2015;Ajay, Singh, 2015;Tran, Le, 2015;Nandi et al, 2018;Marouf et al, 2019]. Во всех случаях можно говорить о формировании в мозге человека специальных структур в процессе решения серии задач одного типа.…”