Gesture Based Wheel Chair For Physically Impaired People - Kulandairaj, Martin Sagayam
29,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 1-2 Wochen
payback
15 °P sammeln
  • Broschiertes Buch

Physically impaired people are often challenged by their physical inability to move around. In no other way are they lesser beings than a fully physically fit human being. Even though they are fit to think independently they are mostly challenged by constrained movement. Our projects targets in making their movement independent and free of external help. The existing wheelchairs need either a physically fit person to help the challenged or requires the physically challenged to have strong hands to control the directions of the wheelchair. Our project aims to solve these issues by motoring the…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Physically impaired people are often challenged by their physical inability to move around. In no other way are they lesser beings than a fully physically fit human being. Even though they are fit to think independently they are mostly challenged by constrained movement. Our projects targets in making their movement independent and free of external help. The existing wheelchairs need either a physically fit person to help the challenged or requires the physically challenged to have strong hands to control the directions of the wheelchair. Our project aims to solve these issues by motoring the wheel chair and making the control with less dampening. We aim to remove the joystick with an electronic hand gesture recognition system that makes directing the wheelchair easier and hassle free. The hand gesture recognition systems need clear background and bright surrounding. Camera based image recognition systems are slow and need perfect surrounding. Here we try to go for an alternate option with hand gesture recognition using electromagnetic field pad.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
El Dr. K. Martin Sagayam obtuvo su doctorado en Ingeniería Electrónica y de Comunicaciones (Procesamiento de imágenes de señales mediante algoritmos de aprendizaje automático) en la Universidad de Karunya. Recibió un Master en Ingeniería de Sistemas de Comunicación y se licenció en Ingeniería Electrónica y de Comunicaciones en la Universidad Anna de Chennai.