Performance evaluation of communication methods on electric wheelchairs as assistive technology for persons with disabilities Cover

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Performance evaluation of communication methods on electric wheelchairs as assistive technology for persons with disabilities

International Journal on Smart Sensing and Intelligent Systems

Volume 15 (2022): Issue 1 (January 2022)

By: Anton Yudhana, Iqbal Cahya Kurniawan, Ikhwan Anshori and Ilham Mufandi

Open Access

|Oct 2022

Figures & Tables

Block diagram of proposed system.

Flex sensors installed in this study: (a) and (b).

Smart glove hardware.

Electrical wiring in the smart glove.

Electric wheelchair Hardware: (a) 3D design, and (b) prototype.

Electrical wiring in an electric wheelchair.

CRC flow chart on: (a) the transmitter part and (b) the receiver part.

All instruction of smart glove system as electric wheelchair controller.

Hardware Testing.

Decimal to binary conversion formula.

CRC Calculation results for the transmitter part.

CRC results on the receiver.

Manual calculation of the CRC Algorithm on the transmitter part.

Manual calculation of the CRC Algorithm on the receiver part.

The testing of delay from QoS.

Throughput test results.

The testing of Jitter parameter from QoS.

Average test value on packet loss of QoS.

Error detection testing on transmitter data and receiver data_

No	Transmitter			Receiver
	conversion Dec to Binary
	Data Flex Sensor	Binary	CRC	Transmit Frame	Receiver Frame	Remainder	Data Flex Sensor	Status
1	364	101101100	0101	1011011000101	0	0	0	Error
2	354	101100010	0100	1011000100100	1011000100100	0	354	Success
3	359	101100111	1011	1011001111011	1011001111011	0	359	Success
4	361	101101001	1010	1011010011010	0	0	0	Error
5	364	101101100	0101	1011011000101	1011011000101	0	364	Success
6	362	101101010	1111	1011010101111	1011010101111	0	362	Success
7	363	101101011	1100	1011010111100	1011010111100	0	363	Success
8	364	101101100	101	1011011000101	1011011000101	0	364	Success
9	360	101101000	1001	1011010001001	1011010001001	0	360	Success
10	353	101100001	0001	1011000010001	0	0	0	Error
11	359	101100111	1011	1011001111011	0	0	0	Error
12	352	101100000	0010	1011000000010	0	0	0	Error
13	355	101100011	0111	1011000110111	1011000110111	0	355	Success
14	360	101101000	1001	1011010001001	1011010001001	0	360	Success
15	358	101100110	1000	1011001101000	1011001101000	0	358	Success
16	356	101100100	1110	1011001001110	0	0	0	Error
17	365	101101101	0110	1011011010110	1011011010110	0	365	Success
18	364	101101100	0101	1011011000101	1011011000101	0	364	Success
19	361	101101001	1010	1011010011010	1011010011010	0	361	Success
20	353	101100001	0001	1011000010001	1011000010001	0	353	Success

Success rates in various distances_

Number of tests (times)	Distances (cm)	Number of data errors	Success rate (%)
20	50	6	70
20	100	6	70
20	150	6	70
20	200	6	70
20	250	9	55
20	300	9	55
Average success rate from 120 trials			65%

DOI: https://doi.org/10.2478/ijssis-2022-0016 | Journal eISSN: 1178-5608

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Language: English

Submitted on: Apr 1, 2022

Published on: Oct 6, 2022

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Error detection,

Cyclic redundancy check algorithm,

Disability electric wheelchair

Related subjects:

Introductions and overviews,

Engineering, other

© 2022 Anton Yudhana, Iqbal Cahya Kurniawan, Ikhwan Anshori, Ilham Mufandi, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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