A sensor‐based assistive technology for lower‐limb‐disabled agricultural workers and abled female workers for tractor clutch and brake operation

Author:

Hota Smrutilipi1,Tewari V. K.1,Dhruw Laxmi Kant1,Chandel Abhilash K.2

Affiliation:

1. Agricultural and Food Engineering Department Indian Institute of Technology Kharagpur Kharagpur West Bengal India

2. Department of Biological Systems Engineering Virginia Tech Tidewater AREC Suffolk Virginia USA

Abstract

AbstractAgricultural mechanization although reduces the food demand and supply gap through improved and smart technologies, it also risks the lower‐limb disability of workers due to accidents that restrict them to participate in agricultural operations due to the unavailability of appropriate assistive technologies. The lack of use of ergonomics further minimizes the inclusion of female workers in farming operations. Therefore, this study is focused on the development of a sensor‐based wireless hand control system for tractor clutch and brake operation to assist lower‐limb‐disabled agricultural workers and abled females in tractor operation. Actuation force and speed of conventional clutch and brake pedals were evaluated using an integrated foot transducer and used as a reference for the design of the system (clutch: 92–310 N, 36–43 mm/s; brake: 106–329 N, 57–63 mm/s). The hand control system consists of a transmitter and a receiver node incorporating a single‐board computer, matrix keypad, voltage regulators, relay switches, wireless communication through radio frequency modules, and electric linear actuators connected with the pedals through L‐shaped clips, nuts, bolts, and chains. The response time of the developed system was determined as 100 ms and the stopping distance of the tractor using the hand control system ranged from 44.0 to 190.7 cm at a forward speed of 2.1–7.9 km/h. The ergonomic evaluation measured using the K4b2 oxygen analyzer identified the foot control usage in tractors as high energy consuming (9.7–15.1 kJ/min) compared with the hand control usage (7.3–14.1 kJ/min). Electromyography‐root mean square (EMG‐RMS) of upper limb muscle, extension digitorum was found to be highest (14.76–45.29 µV) and was significantly affected by forward speed, gender, subjects, and type of control (p < 0.01) whereas, EMG‐RMS of other selected upper limb muscles, middle deltoid, flexor carpi radialis, and brachioradialis was not significantly affected by the type of control (foot or hand). Muscle workload of all the muscles was observed within the recommended limit (<30%) during the tractor operation with the developed hand control system. The developed hand control system provides options to bypass foot‐based actuation requirement for lower limb disabled as well as female workers. The novel design requires minimal workplace and operating forces and is inclusive of operator ergonomics.

Funder

Indian Council of Agricultural Research

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference47 articles.

1. Shoulder-arm muscle load and performance during control operation in forestry machines

2. Community participation and public transportation barriers experienced by people with disabilities

3. Census of India. (2011)Registrar General & Census Commissioner of India: Ministry of Home Affairs. Government of India. New Delhi India.

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