Design of an Arduino Mega-Based Walking Cane Assistive Device to Improve the Quality of Life for the Elderly in the Riau Islands Province

Dimas Akmarul Putera(1), Aulia Agung Dermawan(2), Dwi Ely Kurniawan(3), Alvendo Wahyu Aranski(4), Rafi Dio(5),


(1) Departement of Engineering Management, Institut Teknologi Batam, Indonesia
(2) Departement of Engineering Management, Institut Teknologi Batam, Indonesia
(3) Department of Informatic Engineering, Politeknik Negeri Batam, Indonesia
(4) Department of Information System, Institut Teknologi Batam, Indonesia
(5) Department of Industrial Engineering, Institut Teknologi Batam, Indonesia

Abstract

Purpose: The number of people aged 60 or older is expected to increase globally by nearly three times from 737 million in 2009 to 2 million by 2050. Indonesia's population is projected to reach 28 million by 2045, making up nearly one-third of the total population. In 2020, the population aged 60 or older reached 29.52 million, with 29.52 million from the last two houses being occupied by a house due to numerous housing programs that require a close relationship between people. The study suggests that a house with a strong sense of belonging is a risky group required attention. The study uses a smartphone with a 180° panorama camera and GPS to help locating the house and performing its activities.

Methods: Anthropometry can be defined as the study of body dimensions, namely body size, shape, strength and work capacity for the purpose of body design and composition and prototyping.

Results: This research has resulted in elderly sticks that use sensors to help elderly mobility. This stick can detect the environment nearby the ESP32-Cam with the password "/Capture_photo" and is able to send information about the location of the elderly by sending a message to the GSM Number connected to the Arduino Mega with the password "Hello" and the device will send a message containing the location of the elderly.

Novelty: Based on previous research reviewed by researchers, it was found that similar research using Camera and GPS Technology to Improve the Quality of Life of the Elderly has not been carried out in the Riau Islands of Batam.

Keywords

Arduino mega 2560; Camera ESP-32 CAM; GPS; Elderly; Prototype; Riau islands province; Walking cane

Full Text:

PDF

References

R. Muzayanah and E. A. Tama, “Application of the Greedy Algorithm to Maximize Advantages of Cutting Steel Bars in the Factory Construction,” J. Student Res. Explor., vol. 1, no. 1, pp. 41–50, Dec. 2022, doi: 10.52465/josre.v1i1.112.

R. Alfiqi and J. P. Sembiring, “Technology for SMS-based assistive device for the visually impaired,” J. Soft Comput. Explor., vol. 4, no. 4, pp. 9–17, 2023, doi: https://doi.org/10.52465/joscex.v4i4.225.

E. Noor Dianti, O. G. Khoirunnisa, and S. R. Hidayah, “The Effect of Modern Strategy Implementation on Smart Infrastructure on Increasing Employee Performance at University in Indonesia,” J. Inf. Syst. Explor. Res., vol. 1, no. 1, pp. 25–38, Dec. 2022, doi: 10.52465/joiser.v1i1.102.

N. Charness, “Aging and human performance.,” Hum. Factors, vol. 50, no. 3, pp. 548–555, Jun. 2008, doi: 10.1518/001872008X312161.

C. Herstatt, F. Kohlbacher, and P. Bauer, “‘Silver’ product design: Product innovation for older people,” 65, Jan. 2011.

A. P. L. Girsang, K. D. Ramadani, S. W. Nugroho, N. P. Sulistyowati, R. Putrianti, and H. Wilson, Statistik Penduduk Lanjut Usia 2021, 1st ed., no. 1. Jakarta: Badan Pusat Statistik, 2021.

S. Iliffe et al., “Are elderly people living alone an at risk group?,” BMJ, vol. 305, no. 6860, pp. 1001–1004, Oct. 1992, doi: 10.1136/bmj.305.6860.1001.

V. B. Kusnandar, “Sebanyak 69% Penduduk Kepulauan Riau Berusia Produktif pada Juni 2021,” https://databoks.katadata.co.id/, 2022.

K. Barbosa, F. Rodrigues Lopes de Oliveira, and M. Fernandes, “Vulnerability of the elderly: a conceptual analysis,” Rev. Bras. Enferm., vol. 72, no. 2, pp. 337–344, Nov. 2019, doi: 10.1590/0034-7167-2018-0728.

V. Patni, Y. Rathi, A. Sharma, and D. Sinha, “Senior Citizen Assistance Humanoid,” SVKM’s NMIMS University, Mumbai, 2021. doi: 10.13140/RG.2.2.18821.88802.

Z. Yan-ling, “Research on Designing Pleasant Products for the Empty Nest Elderly,” Packag. Eng., vol. 34, pp. 34–37, 2013.

D. A. Putera, A. R. Matondang, and M. T. Sembiring, “Rice distribution planning using distribution resources planning (DRP) method,” AIP Conf. Proc., vol. 2471, no. 1, pp. 060002-1-060002–6, 2023, doi: https://doi.org/10.1063/5.0129254.

D. A. Putera, “Pengendalian Persediaan Beras Menggunakan Pendekatan Sistem Dinamis Di Perum Bulog Divre Sumut,” Universitas Sumatera Utara, Medan, 2021.

P. Ranjbar, P. K. Krishnakumari, J. Andersson, and M. Klingegård, “Vibrotactile guidance for trips with autonomous vehicles for persons with blindness, deafblindness, and deafness,” Transp. Res. Interdiscip. Perspect., vol. 15, no. May, p. 100630, 2022, doi: 10.1016/j.trip.2022.100630.

F. Başçiftçi and A. Eldem, “A third eye with human-computer interaction for the visually impaired,” Comput. Electr. Eng., vol. 59, pp. 63–72, 2017, doi: 10.1016/j.compeleceng.2017.03.023.

L. Raja and R. Santhosh, “Experimental study on shoe based navigation system for the visually impaired,” Mater. Today Proc., vol. 45, no. xxxx, pp. 1713–1716, 2021, doi: 10.1016/j.matpr.2020.08.615.

B. Siddhartha, A. P. Chavan, and B. V. Uma, “An electronic smart jacket for the navigation of visually impaired society,” Mater. Today Proc., vol. 5, no. 4, pp. 10665–10669, 2018, doi: 10.1016/j.matpr.2017.12.344.

U. Mehta, M. Alim, and S. Kumar, “Smart Path Guidance Mobile Aid for Visually Disabled Persons,” Procedia Comput. Sci., vol. 105, no. December 2016, pp. 52–56, 2017, doi: 10.1016/j.procs.2017.01.190.

I. Ouali, M. S. Hadj Sassi, M. Ben Halima, and A. Wali, “A New Architecture based AR for Detection and Recognition of Objects and Text to Enhance Navigation of Visually Impaired People,” Procedia Comput. Sci., vol. 176, pp. 602–611, 2020, doi: 10.1016/j.procs.2020.08.062.

H. Ahyani et al., PEMASARAN INDUSTRI. Bandung: CV WIDINA MEDIA UTAMA, 2022.

J. Cheng, “Product Design Process and Methods,” in Product Lifecycle Management - Terminology and Applications, P. B. Razvan Udroiu, Ed., BoD – Books on Demand, 2018, 2018, pp. 35–49. doi: 10.5772/intechopen.80821.

J. Majumder, “Anthropometric dimensions among Indian males — A principal component analysis,” Eurasian J. Anthropol., vol. 5, no. 2, pp. 45–53, 2014.

A. K. Bhat, R. Jindal, and A. M. Acharya, “The influence of ethnic differences based on upper limb anthropometry on grip and pinch strength,” J. Clin. Orthop. Trauma, vol. 21, p. 101504, 2021, doi: https://doi.org/10.1016/j.jcot.2021.101504.

G. S. Sharath, N. Hiremath, and G. Manjunatha, “Design and analysis of gantry robot for pick and place mechanism with Arduino Mega 2560 microcontroller and processed using pythons,” Mater. Today Proc., vol. 45, pp. 377–384, 2021, doi: https://doi.org/10.1016/j.matpr.2020.11.965.

A. Kheyfets and V. Vasilieva, “3D Modeling as Method for Construction and Analysis of Graphic Objects,” IOP Conf. Ser. Mater. Sci. Eng., vol. 262, p. 12104, Nov. 2017, doi: 10.1088/1757-899X/262/1/012104.

A. Richardson, B. McNoe, S. Derrett, and H. Harcombe, “Interventions to prevent and reduce the impact of musculoskeletal injuries among nurses: A systematic review,” Int. J. Nurs. Stud., vol. 82, pp. 58–67, 2018, doi: https://doi.org/10.1016/j.ijnurstu.2018.03.018.

I. Jayatilleka and M. N. Halgamuge, “Chapter 1 - Internet of Things in healthcare: Smart devices, sensors, and systems related to diseases and health conditions,” in Advances in Ubiquitous Sensing Applications for Healthcare, H. Das, N. Dey, and V. B. T.-R.-T. D. A. for L. S. S. D. Emilia Balas, Eds., Academic Press, 2020, pp. 1–35. doi: https://doi.org/10.1016/B978-0-12-818014-3.00001-2.

A. Yatsuda, T. Haramaki, and H. Nishino, “A robot motion design scheme for watching the elderly based on human gesture sensing,” Internet of Things, vol. 5, pp. 168–179, 2019, doi: https://doi.org/10.1016/j.iot.2019.01.006.

G. L. Kovács, “Artificial Intelligence Techniques to Design Robotic Systems,” IFAC Proc. Vol., vol. 31, no. 20, pp. 635–644, 1998, doi: https://doi.org/10.1016/S1474-6670(17)41868-4.

Andreas, C. R. Aldawira, H. W. Putra, N. Hanafiah, S. Surjarwo, and A. Wibisurya, “Door Security System for Home Monitoring Based on ESP32,” Procedia Comput. Sci., vol. 157, pp. 673–682, 2019, doi: https://doi.org/10.1016/j.procs.2019.08.218.

A. Mellit, “An embedded solution for fault detection and diagnosis of photovoltaic modules using thermographic images and deep convolutional neural networks,” Eng. Appl. Artif. Intell., vol. 116, p. 105459, 2022, doi: https://doi.org/10.1016/j.engappai.2022.105459.

A. Wirarespati and Z. E. Rasjid, “Automotive Security with Authorization and Tracking via GPS,” Procedia Comput. Sci., vol. 157, pp. 72–78, 2019, doi: https://doi.org/10.1016/j.procs.2019.08.143.

M. W. Apprey, K. T. Agbevanu, G. K. Gasper, and P. O. Akoi, “Design and implementation of a solar powered navigation technology for the visually impaired,” Sensors Int., vol. 3, p. 100181, 2022, doi: https://doi.org/10.1016/j.sintl.2022.100181.

K. Manjari, M. Verma, and G. Singal, “A survey on Assistive Technology for visually impaired,” Internet of Things, vol. 11, p. 100188, 2020, doi: https://doi.org/10.1016/j.iot.2020.100188.

Refbacks

  • There are currently no refbacks.




Scientific Journal of Informatics (SJI)
p-ISSN 2407-7658 | e-ISSN 2460-0040
Published By Department of Computer Science Universitas Negeri Semarang
Website: https://journal.unnes.ac.id/nju/index.php/sji
Email: [email protected]

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.