Technology has been contributing significantly to the development of assistive devices for disabled persons (DPs). Many of these devices aim to assist people who are blind or visually impaired, providing them with friendlier ways to interact with their surroundings (obstacles, objects, and navigation). However, the high cost of these devices makes it difficult for DPs to purchase them. The development of an assistive device kit to be used by the visually impaired in controlled environments (indoor) or urban spaces (outdoor) is presented in this work with a didactic and detailed approach. This low-cost kit (USD 50 per device) consists of a Smart Cane, Smart Cap, and Smart Glove. The methodology addressed aims to support and encourage the reproduction, customization, and manufacture of new assistive devices with low cost and wide applicability. The devices are functional, benefit usability, and, due to the characteristics of the project and the materials used in their construction, do not impact the ergonomics of the visually impaired or disabled person who may use these devices. The devices that integrate the assistive kit can be used independently or combined. In addition to having detection, fall-control, navigation, and real-time tracking functions, they are independent of additional local infrastructure for their use.
Studies that lead to the development of more accessible and low-cost electronic technologies and devices for biomechanical and biomedical analysis applications are becoming increasingly needed. In this work, the development of a multiaxial extensometric force platform will be addressed, aiming to improve the sensitivity and reduce the costs of existing platforms. Additionally, this platform can be used for analysis and characterization of flight time and postural characterization of volleyball athletes. As a result, a functional and easily produced prototype was created, due to the processes used (final cost of the developed platform—USD$100). The interfaces of visualization and analysis of the device functions were designed in LabView. The purpose of the experiments is to perform flight analysis of athletes, and all functions designed for the platform strength and endurance are focused on that same purpose. The prototype’s functions were evaluated by applying loads from 700 to 1000 N (Newtons) and its future integration with other instruments such as the surface electromyography (EMG) and an electrocardiogram (ECG) is expected to form an instrument kit that improves the characterization of studies of balance, strength and muscular endurance.
This paper proposes an integration framework for a sensors network in cyber-physical systems. The framework proposed is still an effort in development to ease the integration and management of software and hardware for sensor networks in cyber-physical systems. The parameters, modeling process and implementation of the framework presented in this work correspond to the first step of the modeling. Such step focuses on analysis and treatment of the functional requirements of the uses for the wireless sensor networks combined with a refined vision of the architecture and its main components.
This paper presents the proposal of integrating an Automatic Meter Reading System (AMR) with Computer Vision and Wireless Communication. The AMR system reads the numeral meter through a video micro-camera, process the collected image using an Optical Character Recognition (OCR) module embedded in the sensor node. The results are sent through ZigBee wireless links to the center of management, in which a mesh topology is used for communication.
The present work describes the development project of the TestBed for Assistive Technologies of the University of San Agustin of Arequipa (UNSA). The project presents itself as a paradigm of inclusiveness in the university space. The testbed aims to enable the development of assistive applications on LoraWan communication infrastructure and embedded interfaces that integrate multiservice architectures, ontologies, beacons and a cloud computing infrastructure.
This paper deals with concepts about the electromyographic signal (EMG), which is a record of action potentials presented by the muscles, and presents the development of a low-cost conditioning circuit for electromyographic signals, including component blocks capable of signal processing and adaptation for microcontrolling devices.