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Electromyography-Based Locomotion Pattern
Recognition and Personal Positioning Toward
Improved Context-Awareness Applications
AIM: The main aim of the project is to design “Electromyography-Based Locomotion Pattern Recognition and Personal Positioning toward Improved Context-Awareness Applications”.
Positioning information is a very basic and important category of context, and has been by far frequently used for most context-aware applications. The personal positioning technology with global positioning system (GPS) brings people a great convenience in retrieving their own locations when doing outdoor activities, and has become a standard feature of smart phones. The availability and accuracy of GPS stand-alone solution is still far to reach a ubiquitous solution, restricted by the physical contributes of the GPS radio frequency signal. Therefore, along with the prevalence of radio frequency identification devices (RFID), wireless local area network (WLAN), and ultrasound technologies, a variety of indoor navigation studied investigated the applications of these communication technologies to develop personal positioning in public places such as supermarkets, airports, office buildings, housing districts, etc.
Falls are dangerous for the aged population as they can adversely affect health. Therefore, many fall detection systems have been developed. However, in existing system we used only accelerometers to isolate falls from activities of daily living (ADL). This makes it difficult to distinguish real falls from certain fall-like activities such as sitting down quickly and jumping, resulting in many false positives.
In the proposed system, we present a personal positioning system with EMG sensor, Accelerometers and GPS. Here, Accelerometer is used for recognizing different postures like walking, running, bending, sitting and lying. And barometer is used for recognizing the height of the person in motions like walking towards upstairs and downstairs, bending of the leg movements etc. And EMG sensor is used for identifying pedestrian’s limb muscles, and gives information fatigue extent, muscular diseases, pulse, oxy-hemoglobin saturation, and skin resistance. And GPS is used for map information of the environment and it records the data of the position.
In this project, we are connecting sensors to the ARM controller with the help of GPIO pins and analog data will be converted to digital with help of ADC and GPS will turn on to find out the location in the form of latitude and longitude. Once the controller gets the information from these devices it sends the data to remote monitoring through internet.
For implementing this project we are using Linux, Qt for embedded Linux.
1. LINUX OPERATING SYSTEM
The Linux open source operating system, or Linux OS, is a freely distributable, cross-platform operating system based on Unix that can be installed on PCs, laptops, net books, mobile and tablet devices, video game consoles, servers, supercomputers and more.
2. Qt for Embedded Linux
Qt for Embedded Linux is a C++ framework for GUI and application development for embedded devices. It runs on a variety of processors, usually with Embedded Linux. Qt for Embedded Linux provides the standard Qt API for embedded devices with a lightweight window system.
3. APLLICATION LANGUAGE C / C++
It is used to provide the security.
Automatic monitoring system.
It avoids potential human errors.
Accident detection for older people.
1. Beginning of Linux programming by Neil Matthew, Richard Stones.