FIGURE 5 - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Content may be subject to copyright.
Source publication
People are preoccupied with their own duties in today’s environment, making it tough to oversee and care for disabled people. Paralyzed and disabled people, on the other hand, have a powerful desire to move around freely. Different initiatives have been taken in the past to improve and preserve the self-esteem of such people, and various technologi...
Contexts in source publication
Context 1
... the help of a touch input mechanism or other assistive technologies, users can convey their needs, emotions, or preferences to others. The complete functionality of the implemented system is represented in figure 5. ...
Similar publications
Accurate and timely determination of a vehicle's current lane within a map is a critical task in autonomous driving systems. This paper utilizes an Early Time Series Classification (ETSC) method to achieve precise and rapid ego-lane identification in real-world driving data. The method begins by assessing the similarities between map and lane marki...
This paper describes the development of a self-driving e-scooter with the ability to safely travel without a rider along a pre-planned route using automated onboard control. Ride-share electric scooters are an alternative to walking or driving, but they are often ineffective or a nuisance due to their placement after usage. An autonomous driving fr...
This study addresses the problem of hand–eye calibration in robotic systems by developing Continual Learning (CL)-based approaches. Traditionally, robots require explicit models to transfer knowledge from camera observations to their hands or base. However, this poses limitations, as the hand–eye calibration parameters are typically valid only for...
3D spatial reasoning is the ability to analyze and interpret the positions, orientations, and spatial relationships of objects within the 3D space. This allows models to develop a comprehensive understanding of the 3D scene, enabling their applicability to a broader range of areas, such as autonomous navigation, robotics, and AR/VR. While large mul...
This study develops and evaluates a deep learning based visual servoing (DLBVS) control system for guiding industrial robots during aircraft refueling, aiming to enhance operational efficiency and precision. The system employs a monocular camera mounted on the robot's end effector to capture images of target objects—the refueling nozzle and bottom...
Citations
... Research by Sanders [3] describes the control of a wheelchair using a joystick, by the user or using sensory inputs, allowing the user to have complete control over the wheelchair based on the surrounding environment in which the wheelchair is being driven. Research by Masud et al. [4] present a vision-based control of a wheelchair, allowing the users to have complete control of the movement of the wheelchair using their eyes. This allows users even with multiple disabilities to be able to control the wheelchair independently with no assistance from anyone. ...
Wheelchairs are a huge support for the movement of people who have disabilities. The wheelchairs that were traditionally moved using manual effort have given way to powered and smart wheelchairs with various controlling methods. When powered wheelchairs are used indoors, navigation and avoiding obstacles become challenging and tricky for a disabled user. To address these challenges there have been implementations of expensive and high-end systems to make the wheelchair move autonomously but as a result such a wheelchair is not economically viable for many users. Thus, there is a need for an alternative low cost method for users to be able to navigate and move in an indoor environment. The paper reviews low-cost methods for implementing indoor navigation systems, weighing their performances to validate if these methods can be used as a viable alternative to the high-cost systems for autonomous navigation in an indoor environment.
... An alternate user interface, such as a mobile app or web interface, can be implemented for improved user interaction and convenience. This interface enables system monitoring and remote control [26]. Features like feedback, notifications about detected human presence, and appliance management are all part of the project's effort to improve user experience. ...
This study focuses on the use of computer vision technology and motion detection sensors to create an intelligent system that recognizes human presence in monitored spaces. The system uses a relay module for automation and control of household appliances while sensing motion detection, operated by an ESP32 microcontroller. This innovative solution addresses two major issues in home automation: reliable human presence recognition and seamless appliance control. The research merges a camera-based vision system with motion sensors, comparing motion and vision-based identification. The ESP32 microcontroller improves motion detection precision and context awareness by integrating motion sensors and computer vision technologies. The integration of a camera module allows real-time analysis and recognition of human presence, reducing false alarms. The relay module also enables automated control of home appliances, synchronizing and feedbacking operations with sensed human presence. The dynamic adaptation of the system improves user convenience and energy efficiency.
... With the help of these facilities, users can tailor their interactions to suit their preferences and physical capabilities [21]. For instance, an eye-controlled wheelchair is proposed in [22], wherein a camera is used to track the eye orientation and ultrasonic sensors are used to detect obstacles. The system is built on a Raspberry Pi platform that processes visual inputs to control motor functions and navigate the wheelchair. ...
This study introduces an innovative smart wheelchair designed to improve mobility and
health monitoring for individuals with disabilities. Overcoming the limitations of traditional wheelchairs, this smart wheelchair integrates a tri-wheel mechanism, enabling smooth navigation across
various terrains, including stairs, thus providing greater autonomy and flexibility. The wheelchair
is equipped with two smart Internet of Things (IoT)-based subsystems for control and vital sign
monitoring. Besides a joystick, the wheelchair features an Electroencephalography (EEG)-based
Brain-Computer Interface (BCI) for hands-free control. Utilizing Support Vector Machine (SVM) algorithms has proven effective in classifying EEG signals. This feature is especially beneficial for users with severe physical disabilities, allowing them to navigate more independently. In addition,
the smart wheelchair has comprehensive health monitoring capabilities, continuously tracking vital
signs such as heart rate, blood oxygen levels (SpO2), and electrocardiogram (ECG) data. The system
implements a SVM algorithm to recognize Premature Ventricular Contractions (PVC) from ECG
data. These metrics are transmitted to healthcare providers through a secure IoT platform, allowing
for real-time monitoring and timely interventions. In the event of an emergency, the system is programmed to automatically send alerts, including the patient’s location, to caregivers and authorized
relatives. This innovation is a step forward in developing assistive technologies that support independent living and proactive health management in smart cities.
... The collected data is subsequently sent to a specialist repository for further analysis and action to improve the patient's health. Conventional healthcare, smart biosensors, smart wheelchair [45], smart medication [46,47], portable gadgets, information and communication technology, and smart ambulance systems may all be thought of as components of smart healthcare as: ...
People across the world aspire to settle in urban areas for better opportunities in career, education, and healthcare facilities. The increased proportion of people living in urban areas requires an improvement of smart habitat(s) robust enough to deal with the daily needs of citizens such as personal information management, security and surveillance to deal with anomalous activities in real-time. The present paper aims to provide an extensive review based on 213 research articles published from 2001 to 2023 highlighting various technologies for smart cities and intelligent video surveillance techniques, in order to: (i) Highlight the significance of smart city surveillance as well as the current research tendencies in this field. (ii) To present and explicate a standardized model of a smart city based on video surveillance. (iii) To analyze the current status and highlight challenges, and limitations of surveillance systems in different smart city applications. The paper outlines the critical role of video surveillance as a necessary feature of every subdomain of the smart city model. The fundamental element that defines the soon-to-come victorious period is the most recent technological developments for the detection of anomalous activity, fire, digital tampering, and objects, which are thoroughly examined in existing research papers and elucidated. The article further presents a well outlined bibliographic classification of state-of-the-art techniques. A comparison of the existing video surveillance datasets has also been thoroughly analyzed. Finally, the current work identifies major research challenges and future opportunities in this domain.
