Titlebook: Gesture Recognition; Principles, Techniqu Amit Konar,Sriparna Saha Book 2018 Springer International Publishing AG 2018 Body Language Studie

custody

Type-2 Fuzzy Classifier Based Pathological Disorder Recognition,m the same pathological disorder vary widely over different instances. In presence of two or more gestural features, the variation of the attributes together makes the problem of pathological disorder recognition more convoluted. Wider variance in gestural features is the main source of uncertainty

懸掛

Exonerate

Differential Evolution Based Dance Composition,of the well-known differential evolution algorithm. In this chapter, we propose a novel approach in which a system autonomously composes dance sequences from previously taught dance moves with the help of the well-known differential evolution algorithm. Initially, we generated a large population of

coddle

fabricate

outset

Gesture Driven Fuzzy Interface System for Car Racing Game,s into account the dependence of actual steering angle with the distance of two palm positions and angle generated with respect to the sagittal plane. The FIS output variable controls the duration of a virtual “key-pressed” event which mocks the users pressing of actual keys assigned to control car

蔓藤圖飾

Type-2 Fuzzy Classifier Based Pathological Disorder Recognition, and general type-2 Fuzzy Sets has been used to construct the fuzzy gestural space. An interval valued fuzzy set (IVFS) or interval type-2 fuzzy set (IT2FS) is constructed with primary membership functions for . gestural features obtained from . subjects, each having . instances of gestural expressi

Ischemic-Stroke

Probabilistic Neural Network Based Dance Gesture Recognition,rmed by a novice; the user can rectify his faults. The elementary knowledge of geometry has been employed to introduce the concept of planes in the feature extraction stage. Actually, five planes have been constructed to signify major body parts while keeping the synchronous parts in one unit. Then

Fortuitous

大酒杯

EEG-Gesture Based Artificial Limb Movement for Rehabilitative Applications,patient to catch the ball. The proposed system can be implemented not only in ball catching experiment but also in several application areas where an artificial limb needs to perform a locomotive task based on EEG and body gesture.