Automated Detection of fall among the elderly using accelerometer analysis     TableofContentsIntroductionProject DescriptionProject PlanProgress to DateDiscussion and ConclusionReferences1.       IntroductionThe aim of this report is to provide progress details of the project, goals and plans for the year to complete the project. To achieve this aim, some tools would be used in this report such as block diagrams, circuit diagrams flowcharts and project plan for this project as agreed with the supervisor.2.      Project Description.                     The aim of the project is to develop a system to detect fall among the elderly using an accelerometer, to be able to send a short message service (SMS) message over the Short Message Service Centre (SMSC) when the fall occurs and to design a fall detector system based on algorithm to detect the fall                     In order to achieve this system, the following components will be required such as an Arduino Uno ATmega 328p, a mobile phone SMS, accelerometer and a buzzer to achieve the desired result. The language that will be used in the project will be programmed using C++.2.1        Block diagram       2.2        Flowchart for Algorithm         The following flowchart in Figure 3 below shows the flowchart for the algorithm to be used for the project:StartInitialize SystemMonitoring  x,y,z Accelerometerx,y,z gryrometer measuring  Fall                                              NO                               YESSend SMS                            Sound buzzer      EndFigure 2.2 Flowchart of the project        A program flow chart as displayed in Figure 2.2 as shown explains the steps involved in the completion of the project. The program will start with the initialization of the system. Then, it is followed by monitoring the accelerometer and gyroscope. If an individual falls, a SMS will be sent to the individual monitoring the fall as a sound buzz.2.3  ARDUINO UNO MICROCONTROLLER         The Arduino Uno is a microcontroller board based on the ATmega328p.  The Arduino Uno is widely acceptable because of its easy online availability online source code coupled with its programming capability and. It is made up 14 digital input/output pins (6 PWM (Pulse width modulation) outputs), 6 analog inputs, ceramic resonator, a USB (universal serial bus) connection, a power jack, an ICSP (in-circuit serial programming) header, and a reset button. It functions on a low current of between 40 to 50 mA and a voltage of between 0 to 5 v. it can be powered by either using a USB connection or an external power jack. Due to its size in memory of 32KB it can programmable using an Arduino IDE (Integrated development environment).2.4  SIM 800L Mini GSM/GPRS module           The SIM 800L is a mini cellular model that is used for transmitting and receiving data through a cellular network. It can be used to receive and send messages and calls. Due to its low cost, small size and quad frequency band it makes it the most efficient for transmitting and receiving at a long range. After its setup and booting when the power comes on it searches automatically and connects to the network while the LED (Light emitting diode) on its board shows the connection state.2.5  MPU 6050 Gyroscope and Accelerometer            The MPU 6050 is a device that is made up of a 3- axis accelerometer, 3 axis gyroscope and a digital thermometer. it is used for motion sensing. it   has a   special feature that is inbuilt which is the Digital motion processor unit (DMP) which is capable of processing complex 9 axis motion fusion data. it has an input voltage which ranges from 3 to 5 volts. It   interfaced which I2C (Inter-Integrated Circuit) communications and supports it up to 400kHz.3.       Project Plan           Time Management:  it is the period taken to complete some weekly task which may vary. Although tasks may be delayed in the process which is natural in a project, sometimes when this occurs it is best to complete other tasks before returning to the incomplete task to complete it. DeadlineTask08-10-2018Preliminary Report Submitted1-11-2018Research on the topic of automated fall detection15-11-2018Selection and building of a suitable wearable accelerometer-based data acquisition system with the capability to communicate with external network.26-11-2018Use of the developed hardware system to capture a data set of simulated falls and non-fall related activity.27-11-2018Required components purchase09-01-2019Progress report and presentation submission28-01-2019Deployment and evaluation of an automated fall detection algorithm and evaluation of22-02-2019Deployment of the developed algorithm on the developed hardware for real time demonstration of system operation. Final test results and verification with simulation results28-02-2019Final test results and verification08-03-2019Conclusions and Discussions12-03-2019Poster presentation with project coordinator and presentation of first draft of report.18-03-2019Poster presentation25-03-2019Presentation of final hard bind report to project coordinator Progress till date                  From the project description and the plan to complete the project, this section explains and displays the progress that has been made to accomplish the set earlier goals that should have been completed at this time.