scholarly journals Voice Controlled Guided System for Wheelchair with Collision Detection and Avoidance

2021 ◽  
Vol 2089 (1) ◽  
pp. 012052
Author(s):  
Purvi Chhowara ◽  
GhansyamRathod
Keyword(s):  
Collision Detection ◽  
Voice Command

Abstract Many people are suffering from temporary or permanent disabilities due to accidents or any pre-illness that may introduce a wheelchair for the person as essential. The use of a wheelchair independently can be derived from the severity of the disability. But in the case of severe situations when a person relies on somebody else to handle the movement of a wheelchair. This paper aims to provide a solution to this problem by using voice command to guide the wheelchair eliminating the reliability of another person.

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

Safety Design and Realization of an Assistive Robotic Manipulator Based on Collision Detection

ROBOT ◽  
2011 ◽  
Vol 33 (1) ◽  
pp. 40-45 ◽  
Author(s):  
Yuntian HUANG ◽  
Weidong CHEN ◽  
Yixiang SUN
Keyword(s):  
Collision Detection ◽  
Robotic Manipulator ◽  
Safety Design ◽  
Assistive Robotic

scholarly journals Automated vehicles and the morality of post-collision behavior

2021 ◽  
Author(s):  
Sebastian Krügel ◽  
Matthias Uhl ◽  
Bryn Balcombe
Keyword(s):  
European Commission ◽  
Research Program ◽  
Collision Detection ◽  
Expert Group ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Data Provision

AbstractWe address the considerations of the European Commission Expert Group on the ethics of connected and automated vehicles regarding data provision in the event of collisions. While human drivers’ appropriate post-collision behavior is clearly defined, regulations for automated driving do not provide for collision detection. We agree it is important to systematically incorporate citizens’ intuitions into the discourse on the ethics of automated vehicles. Therefore, we investigate whether people expect automated vehicles to behave like humans after an accident, even if this behavior does not directly affect the consequences of the accident. We find that appropriate post-collision behavior substantially influences people’s evaluation of the underlying crash scenario. Moreover, people clearly think that automated vehicles can and should record the accident, stop at the site, and call the police. They are even willing to pay for technological features that enable post-collision behavior. Our study might begin a research program on post-collision behavior, enriching the empirically informed study of automated driving ethics that so far exclusively focuses on pre-collision behavior.

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