AUTOMATIC HEAD-MOVEMENT CONTROLLED WHEELCHAIR

2020 ◽  
Vol 9 (10) ◽  
pp. 62-67
Keyword(s):  
Head Movement ◽  
Motion Sensor ◽  
Electric Wheelchair ◽  
Wheel Chair ◽  
Head Band

This project is regarding the Motion controlled wheelchair for disabled. We are going to control motorized wheelchair using a head band having motion sensor and Arduino as controller. Problem: “often disabled who cannot walk find themselves being burden for their families or caretakers just for moving around the house. Disabled who are paralysed below head, who may not have functioning arms cannot control joystick controlled electric wheelchair.” This project is to solve their problem using a motion sensor to control their wheelchair. We are aiming towards building a more affordable, unique, low maintenance and available for all kind of head-controlled wheel chair.

scholarly journals Construction of Mathematical Model of DC Servo Motor Mechanism with PID controller for Electric Wheel Chair Arrangement

2021 ◽  
Vol 3 (1) ◽  
pp. 49-60
Author(s):  
Hadish Habte Tesfamikael ◽  
Adam Fray ◽  
Israel Mengsteab ◽  
Adonay Semere ◽  
Zebib Amanuel
Keyword(s):  
Mathematical Model ◽  
Response Time ◽  
Dc Motor ◽  
Loop Control ◽  
Electric Wheelchair ◽  
Dc Motors ◽  
Proposed Model ◽  
Medium Level ◽  
Wheel Chair ◽  
Smart Wheelchair

Low-level and medium-level leg injury patients can be operated wheelchair independently in the clinical region. The construction of an electric wheelchair is one of the solutions to operate electric wheelchair by the patients themselves. The motor is an essential part of an electrical wheelchair for driving from one place to another place. The response of the system is very important for the optimization of the system. The existing methods fail in gradual sensitivity during motion and lack of response time to the user. This article is consist of a design for optimizing the existing DC motor transfer function for the smart wheelchair. The perfect angular tuning of the derivative controller provides a better executing time for our proposed model. The smoother responses from the smart wheelchair are obtaining by the dynamic response of closed-loop control. The design of DC motors is to drive smart wheelchair as per the needs. Besides, the construction of a mathematical model for proposing a system involves the DC motor drive to the smart wheelchair arrangement. The proposed model gives independent mobility of smart wheelchair with less response time and better sensitivity. Here, the mathematical model provides the details of immediate response to the user and less execution time of the complex system process. Finally, the authors discussed future improvements to the current DC motor design in the proposed system.

Role of pinnae and head movements in localizing pure tones 1The authors would like to thank Mr. Remi Humbert for implementing the experiment in Turbo Pascal and for his further assistance.

1999 ◽  
Vol 58 (3) ◽  
pp. 170-179 ◽  
Author(s):  
Barbara S. Muller ◽  
Pierre Bovet
Keyword(s):  
Sound Source ◽  
Head Movement ◽  
Movement Analysis ◽  
Head Movements ◽  
Sound Sources ◽  
Localization Accuracy ◽  
Sound Effects ◽  
Posterior Quadrant ◽  
Localization Performance ◽  
Pure Tones

Twelve blindfolded subjects localized two different pure tones, randomly played by eight sound sources in the horizontal plane. Either subjects could get information supplied by their pinnae (external ear) and their head movements or not. We found that pinnae, as well as head movements, had a marked influence on auditory localization performance with this type of sound. Effects of pinnae and head movements seemed to be additive; the absence of one or the other factor provoked the same loss of localization accuracy and even much the same error pattern. Head movement analysis showed that subjects turn their face towards the emitting sound source, except for sources exactly in the front or exactly in the rear, which are identified by turning the head to both sides. The head movement amplitude increased smoothly as the sound source moved from the anterior to the posterior quadrant.

Automatic Wheel Chair Control Using Eyeball Movement for Physically Challenged People

2012 ◽  
Vol 3 (3) ◽  
pp. 317-319
Author(s):  
R.Venkatesh R.Venkatesh ◽  
◽  
R.Karthick R.Karthick
Keyword(s):  
Wheel Chair ◽  
Physically Challenged

Evaluation for Effectiveness of Individual Lighting Control using Image-based Motion Sensor

2018 ◽  
Vol 138 (11) ◽  
pp. 1362-1374 ◽  
Author(s):  
Takuya Futagami ◽  
Toru Yano ◽  
Chingchun Huang ◽  
Takaaki Enohara
Keyword(s):  
Motion Sensor ◽  
Lighting Control

A New Deprocess Flow of Failure Analysis for MEMS Motion Sensor

2013 ◽  
Author(s):  
Chun-An Huang ◽  
Han-Yun Long ◽  
King-Ting Chiang ◽  
Li Chuang ◽  
Kevin Tsui
Keyword(s):  
Failure Analysis ◽  
Optical Microscopy ◽  
Motion Sensor ◽  
Thermal System ◽  
Layer By Layer ◽  
Sensor Failure ◽  
Process Flow ◽  
New Process ◽  
Cutting System ◽  
Successful Observation

Abstract This paper demonstrates a new de-process flow for MEMS motion sensor failure analysis, using layer by layer deprocessing to locate defect points. Analysis tools used in this new process flow include IR optical microscopy, thermal system, SEM and a cutting system to de-process of MEMS motion sensor and successful observation defect points.

Adjuncts as a diagnostic of polysynthetic word formation in Inuit

2017 ◽  
Author(s):  
Richard Compton
Keyword(s):  
Head Movement ◽  
Word Formation ◽  
Diagnostic Device ◽  
Closed Class ◽  
Variable Ordering ◽  
Mirror Principle

This chapter examines polysynthetic word formation in Inuit (Eskimo-Aleut), using the presence and variable ordering of a closed class of adverbs within verbal complexes as a diagnostic device to evaluate the adequacy of different accounts of word formation. It is argued that a head movement account of Mirror Principle orders within Inuit words undergenerates with respect to the observed variation in adverb ordering, particularly if a fixed hierarchy of adverbial functional projections is assumed, as in Cinque (1999). Instead, it is shown that an analysis that employs a right-headed structure, XP-sized phasal words, and Ernst’s (2002) semantically based framework of adverb licensing better captures the observed variation.

3D word spotting using leap motion sensor

2021 ◽  
Author(s):  
Partha Pratim Roy ◽  
Pradeep Kumar ◽  
Shweta Patidar ◽  
Rajkumar Saini
Keyword(s):  
Motion Sensor ◽  
Leap Motion ◽  
Word Spotting
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