Wearable Motion Recognition Technology to Detect Falls

  • Louise Patterson

1. Task Title

The development of a completely working model using wearable movement recognition technology to identify and alert to falls within the house.

2. Abstract

The focus of the document concerns the study and technique into the situation of people carefully needs having the ability to live independently of their own homes with lowest intervention. Elderly people particularly generally have an increased risk of dropping and sustaining serious damage than youthful people. Other people with certain medical ailments also have a higher risk of dropping scheduled to seizures, balance problems etc.

Current fall recognition alert systems are expensive and obtrusive. They might need landline phone cable connections and a call centre network with access to personal information to get hold of the appropriate carer. Receptors are rarely waterproof and can be easily harmed. What sort of sensors are continued your body can irritate and be annoying to the individual. One of the primary, costliest failures of current systems occur when a call button has been handled by accident, leading to accidental notifications being delivered to the call centre.

The main target of the research and proposed model is to offer an investigation into the opportunity of using new technology to give a far better system. Which Such something will work only for fall recognition and send notifications to appropriate employees with the option for camera usage of enabling them to see situation on way to notify.

Specifically the project seeks to discover if new wedding ring action detection technology can be used to provide a more cost effective way of discovering falls within the house. Provisioning of the sensor which is both waterproof and unobtrusive to the wearer, which can be used to send an alert via txt or email right to carers, thereby taking away the necessity for a pricey, dedicated landline alert system and call centre network.

Table of Material (Bounce to)

1. Job Title

2. Abstract

3. Aims

4. Objective

5. Justification

6. Literature Review

7. Methodology

8. Work Plan

9. References

3. Aims

The aim of the task is to develop a working model for fall detection using movement detection technology by means of a wearable wedding ring, thereby exchanging current, obsolete and non - customer - friendly equipment. Thereafter showing the working model to appropriate physiques in order to facilitate a huge reduction in what has turned into a costly and uncomfortable system to perform and maintain for any parties.

To achieve this, research in what identifies a semester will be completed as well as research for program creation using the control language and movement detection encoding using the available software development sets provided by the diamond ring developers. Current land detection applications will be explored to compare and improve on suggested model.

To accomplish that, research will be carried out to know what identifies a "fall" in today's system, as well as the number of fall detection applications currently available. Following this, research will be required into the most appropriate type of request creation tools to use in the working model. Tools include the type of processing vocabulary required and this motion detection encoding available through the software development packages provided by the ring developers. Comparisons will be attracted from research results in order to discover what advancements could be produced on the proposed working model.

4. Objectives

Research the many methods and definitions available for falls and fall recognition, including what sort of fall is defined within programming by code or algorithm. Select and justify method picked for fall recognition with the scope of the task model

Research and learn the languages used within the encoding and software development set up required to control and keep an eye on the diamond ring technology within the working model.

Preliminary code writing and testing of these devices for the purposes of the working job model. Screening the code to determine if it works, and this the device has the ability to detect and determine falls.

Research current fall season alert models and applications for the purpose of fall diagnosis and alerting to falls in a enclosed space just like a home for the purpose of comparing and increasing proposed project model

Preliminary coding to send alerts from the device to a getting base station with Bluetooth connection and networking capacities.

Testing system notifications are directed and received effectively.

Application creation for a multi-platform alert system to get notifications and send to carer via text message and email.

Test completed model. Street to redemption detection, alerts, range and implementation process.

Research future implementations of the model, what other functions can be put into the engagement ring technology to enhance the efficiency of the model to boost care.

Compile all documentation, results of the model creation and execution, and complete job for submission.

5. Justification

The description of comes is explored to provide the algorithm and mathematics had a need to program the device to recognise motion patterns and the immobility that constitutes a fall.

To ensure successful programming of these devices, knowledge and understanding of the java programming language and the program developer's sets will be required.

Programming and screening are carried out at each stage to find and repair any problems before carrying on with the job.

Current solutions are investigated to ensure methods picked for the task are best suited to the technology, and improve on current methods deployed.

Testing is carried out to discover and repair any issues before carrying on.

The software will be intended to allow complete control over how alerts are delivered and received, while also adding security and privacy into the system.

The completed model will be examined to ensure a working model, with real life show up simulations and alerts, discovering any issues that require attention before conclusion.

Future improvements are researched to find any additional functionality that may be implemented within the machine model to improve quality of life.

6. Literature Review

The purpose of the papers read is how to establish the show up within the opportunity of the job and what systems are suitable to task.

With this at heart the following documents contain information on fall recognition and the several technologies which may be used to complete a project of this type.

Challenges, issues and styles in fall diagnosis systems by Raul Igual, Carlos Medrano, and Inmaculada Plaza: Published online July 6 2013 in the BioMedical Engineering OnLine

Fall diagnosis system using Kinect's infrared sensor by Georgios Mastorakis and Dimitrios Makris : Shared December 2014 in the Journal of Real-Time Image Processing

Heterogeneous multi-sensor fusion based on an evidential network for street to redemption detection by Paulo Armando CAVALCANTE AGUILAR, Jerome Boudy, Dan Istrate, et. Al. : Submitted to HAL on the 14 December 2012.

Accurate, Fast Semester Recognition Using Gyroscopes and Accelerometer-Derived Position Information By Qiang Li, John A. Stankovic, et. Al.

Challenges, issues and developments in fall diagnosis systems: this paper covers many of the several studies already taken place. It details the devices and methods used to discover falls.

Fall diagnosis system using Kinect's infrared sensor : This newspaper cover the use of the xbox's kinect sensors in fall diagnosis. The same technology found in the nod ring.

Heterogeneous multi-sensor fusion based on an evidential network for fall detection : protects how the network is employed to notify and find the falls.

Accurate, Fast Fall season Diagnosis Using Gyroscopes and Accelerometer-Derived Pose Information: covers the way the bodies position is employed with accelerometers and gyroscopes to identify falls.

7. Methodology

The research necessary to enable conclusion of the project will the follow the stream diagram used within Goals.

Secondary research will be carried out into what defines a fall. This will demand papers, articles, literature and websites to be read on the definition of what takes its fall. The info gained out of this research will be compared and contrasted in to dining tables to analyse what actions and positions best constitute a street to redemption and will cover the most likely scenarios for the system model.

During this research any currently available algorithms, diagrams and coding will be collated, analysed and used to determine the fall definition chosen for the task.

Another aspect required for the machine model is the final position of the street to redemption and the time of inactivity that would indicate a fall. The data will be collated and analysed using graphs and diagrams to choose the most likely solution that encompasses the most data to set-up an all-encompassing semester detection system. Time inactivity data will be accumulated from research data to compare time retrieved to choose the median body for inactivity and use this in the introduction of the system.

Then all the collated data will be likened analysed and a summary drawn, displaying the best options for the job, and the introduction of the equations required for coding of these devices sensors.

Once a show up definition has been decided on the terms used to program the device sensors needs to be researched and discovered. The sensor device has available software developer's kits (SDK) for android, iOS and UNIX amongst others. The usage of these kits will require a steep learning curve and require reading and taking sensible courses on learning the languages required. Learning the vocabulary, will be achieved through catalogs, online programs and available API's and code.

The Project Supervisor will help in the job ensuring the correct language is employed and coding is fit for purpose.

Although the ring comes with its software, other methods of programming appropriate to the current expertise will be explored, by contacting builders through the developer's community and other programmers to aid with encoding the detectors.

At this stage any compatibility problems with the sensor and devices will be noted and used during the trials of the completed model to aid improvements.

During the process of learning the coding vocabulary, the programming of the band employing this knowledge will be initiated. Sample rules will be modified and tested by programming the device to test operation.

Current show up technology research will include investigating current papers, applications and systems. Available current applications will be likened against the proposed project model to find out possible areas for improvement.

Initial alert sending coding will be designed within the jewelry SDK, producing results of positive fall season detection and sending these to a receiving device. Knowledge and encoding developed during research will be used to complete alert coding.

Testing will be completed using simulated notifications on various platforms, at different distances from sensor to platform stop. Results will be collated and displayed in graphs demonstrating comparisons and examination. The alert sending system which sends messages to cell phones and email messages will be designed using the SDK or terminology used to program other functions.

The completed model is to be tested using real comes which creates an moral issue. To address this matter local fighting techinques instructors will be approached to require their advice about testing. The trainers will be asked to supply the test equipment to classes in order to record falls that happen during normal category activities. To fulfil any ethical considerations these tests will be recorded and the correct paperwork for consent obtained. These lab tests will ensure street to redemption detection, alerts sending and getting and the effective range of the machine. The results will then be collated and reproduced in graphs, desks and illustrations to show success and inability rates, distance achieved and sending and getting times.

Future innovations are looked into through searching for added operation of the sensor devices used within the model and possible affordable enhancements which, when put into the system model increase the task and add features resulting in a reliable good care model.

The final step will be compiling the survey for submission. This may done by pooling all research, dining tables, graphs and coding into the documentation required for the MSc job.

8. Work Plan

The MSc Smart Systems course head has explained the project must be completed and published for marking so graduation can be achieved in Dec or January.

With this is mind the completed project must be submitted to lecturer in plenty of time to allow for marking and external evaluation.

To ensure this is actually the case your final submission day of October 30th 2015 has been chosen with a start time of the 22nd of June 2015. A draft distribution is usually to be submitted no later than the 25th of Sept.

Timeline

June

July

August

September

October

Literature Review

Programming & Testing

Final Testing

Compiling

As a books review is a learning and development process this will be an ongoing method from June to the end of September. Programming and initial evaluation will commence in the first week in July and continue until a completed model is ready for last testing.

Final tests is to commence in the 3rd week of September and last for 14 days. Compiling of data and research will be compiled as a continuing process, however writing the job will start in earnest at exactly the same time as final tests.

Due to the intricacy of the task fortnightly meetings / tutorial trainings will be established with the supervisor.

9. References

Ascii Table (2015) ASCII Desk and Description [Online] Available: http://www. asciitable. com/ [Accessed: 20 Apr 2015]

Breakpoint (2007) Symmetric Cryptography [Online] Available: http://breakpoint. cc/Thesis/html/diplomarbeitch2. html [Accessed: 14 April 2015]

Cabbage (2009) Circumventing Adobe ADEPT DRM [Online] Available: http://i-u2665-cabbages. blogspot. co. uk/2009/02/circumventing-adobe-adept-drm-for-epub. html [Accessed: 25 April 2015]

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