Digital Forensics and Internet of Things. Группа авторов
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Название: Digital Forensics and Internet of Things
Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Жанр: Программы
isbn: 9781119769033
isbn:
3.1.1 Block Diagram
Arduino UNO: It is an open-source electronic device and has an onboard 8-bit ATmega328p, where it allows anyone to perform their own projects. It comprises a crystal oscillator, serial communication, voltage regulator, etc., to support Arduino UNO. Arduino IDE is a platform where one can program the Arduino UNO for the desired outcomes.
Flex Sensors: A flex sensor is a low-cost, simple-to-use sensor that measures the amount of bending or variations in resistance caused by bending.
MEMS Sensors: These are low-cost inertial sensors with high precision that are used in a wide variety of industrial applications. These sensors sense external stimuli and carry out mechanical tasks.
Figure 3.1. Block diagram of gesture-based hand gloves using Arduino UNO.
DC Motors: Compared to stepping motors, DC motors are faster, cost efficient, and compact in size.
GSM module: This module is widely used in Internet of Things (IoT) and embedded systems projects. Using AT commands, one can read, write, or delete SMS messages.
LCD Display: It is low cost and easy to program. It is an alphanumeric display which can print both alphabet and numbers.
3.1.2 The Proposed New Design
The new design was implemented for a variety of reasons, including both functional and ethical concerns. A simple and proven technology, as well as corresponding precision control, are integrated into the practical consideration of the equipment. The equipment is easier to manage and operate with because of the more efficient, easy-to-understand implementation [9]. The approach is also cost-effective, user-friendly, and simple to explain to people who are engineers. This design aims to solve the issue by creating a smart wheelchair that is different and special to disabled people, allowing them to travel around their neighborhood, workplaces, and markets without feeling any less important than other people due to their disability [10].
3.1.3 Circuit Diagram
Figure 3.2. Circuit diagram of gesture-based hand gloves using Arduino UNO.
3.2 Result and Discussion
The complete hardware and the components required are mentioned along with the circuit diagram. We used the Arduino IDE for programming for the desired outcomes.
The proposed implementation is affordable and reliable as far as utilization is concerned. This gesture-based hand gloves to drive the wheelchair have many merits over the conventional wheelchair or SOS facility.
3.2.1 Data Analysis
The aim of this effort is to evaluate the efficiency of the finger’s motion and to use the accelerometer to adjust the wheelchair’s direction based on its finger. During the experiment, if the finger moves to the correct right hand, the wheelchair will move right, while if the finger moves to the wrong side, the wheelchair will move left. As shown in Table 3.1, wheelchair inventions can be operated in four directions: forward, reverse, left, and right.
Table 3.1 shows how we use an algorithm to regulate the motion of a wheelchair. The method is very simple, as previously mentioned, for a wheelchair whose motion is controlled with your index finger. The system was carried out with the same finger posture for the purpose of referring to it as the stable movement or “neutral position”. The wheelchair is propelled by electric motors that are operated by hand gloves that have a movement sensing system attached to them and are set to start mode.
3.3 Conclusion
The plan sets out to design and build a simple sensor microcontroller-based technology that had never been used in a wheelchair environment before. The aim of this work is to create an easily controllable, low-cost, and low-power wheelchair to bridge the communication gap between physically disabled, deaf, and mute people and the public. A wheelchair offers a disabled person fresh hope for living a full life. It instills in them the courage to function independently. This proposed work helps such communities to regain their confidence and makes them to do some tasks independently. It also acts as a personal assistant as well as SOS. Since the wheelchair is fully automated, it reduces the effort and physical strength of the disabled person. It can carry the load up to 100 kg.
Table 3.1 Algorithm setting for wheelchair direction.
| Index finger | Input from Arduino | Directions | |||
| D1 | D2 | D3 | D4 | ||
| Stable 0° | 0 | 0 | 0 | 0 | No movement |
| Bend to Right 45° | 0 | 0 | 0 | 1 | Right movement |
| Bend to Left 45° | 0 | 0 | 1 | 0 | Left movement |
| Bend to Backward 45° | 1 | 0 | 0 | 0 | Reverse movement |
| Bend to Forward 45° | 0 |
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