TRACKING OF DEMENTIA PATIENTS USING GPS & LORA WIFI
Journal of Information and Computational ScienceISSN: 1548-7741TRACKING OF DEMENTIA PATIENTS USING GPS &LORA WIFI*G Gayatri 1, T Pavan2, V Meghana3, S Sowjanya4 and S K Yaseen51Assistant Professor, 2016.ece@anits.edu.inABSTRACTDementia is a state of disorder where the old-aged people tend to lose their memory, and wanderaround without their consciousness. In order to take care of such people, we aid them by thecaregivers with the help of a wrist band in which the GPS and LORA are integrated .In thisproject ,we work on a GPS tracker and proposed an energy efficient,wrist band by integratingthe latest LORA communication and GPS. Our model show that the GPS wristband is able tosupport upto 40 hours continuous GPS tracking with a frequent 60 seconds location update rate.LORA WAN supports up to 5km communication range in urban areas and 20 km in rural areas,usually an order of magnitude lower than the GSM protocol as compared .The main aim of thisproject is to design a LORA based GPS tracker with low battery consumption in order to takecare and track the location of the dementia patients .Keywords: Dementia, LORA , GPS .1. IntroductionDementia is a group of mental disorders characterized by loss of memory and impairment tothinking and problem solving capabilities, which has plagued all nations around the world andposed substantial challenges to health, aged care and social economics. It is a leading cause ofdeath and disability in persons aged over 65.Wandering is a common form of disruption forpeople with dementia for a number of reasons, such as memory problems, disorientation andboredom. The people with dementia will wander. It can pose a great risk to the safety and wellbeing for the person and thus is a critical concern for caregivers. Although there is still noeffective cure for dementia related wandering, precautions and efforts can be taken to reduce therisk of wandering to dangerous areas and to help release the burden of caregivers.Volume 10 Issue 4 - 2020744www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741The Fig 1 represents the block diagram of the project which consists of 2 LORA modules (onemodule for transmitting and other for receiving) and a GPS module at the transmitter. At thetransmitter side, we integrate the GPS module with the LORA transmitter in a wrist band for thedementia patients. At the receiver side, these coordinates from the transmitter are extracted andmapped in real time location on Google Maps through Thing speak Cloud and MIT app inventor.2. Block DiagramFig 1 Block diagram of the Project3. LORA TechnologyLORA stands for Long Range Radio. It is a new wireless protocol designed specifically forlong-range (868MHz up to 2km), low-power communications. Each LORA gateway has theability to handle up to millions of nodes. The signals can span a significant distance, whichmeans that there is less infra structure required, making constructing and network muchcheaper and faster to implement. LoRa uses a proprietary spread spectrum modulation that issimilar to and a derivative of Chirp spread spectrum (CSS) modulation. The spread spectrumLoRa modulation is performed by representing each bit of payload information by multiplechirps of information. The rate at which the spread information is sent is referred to as thesymbol rate, the ratio between the nominal symbol rate and chirp rate is the spreading factor (SF)and represents the number of symbols sent per bit of information. LoRa can trade off data ratefor sensitivity with a fixed channel bandwidth by selecting the amount of spread used (aselectable radio parameter from 7 to 12). Compared to lower SF, sending the same amount ofdata with higher SF needs more transmission time, known as airtime. More airtime means thatthe modem is up and running longer and consuming more energy. The benefit of high SF is thatmore extended airtime gives the receiver more opportunities to sample the signal power whichresults in better sensitivity.Volume 10 Issue 4 - 2020745www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741Fig 2 LORA TECHNOLOGY4. LORA MODULEIn this project, we used the LORA module is TTGO LoRa32 SX1276 OLED is an ESP32development board with a built-in LORA chip and an SSD1306 0.96 inch OLED display.Fig 3 LORA Module5. IMPLEMENTATIONIn these chapter, we discusses about how we implemented the project. These project consists oftwo parts transmitter part and receiver part. At the transmitter side as shown in Fig 1, the systemVolume 10 Issue 4 - 2020746www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741consists of LORA and GPS modules respectively. The GPS module is to track the location of thepatient. The GPS module gives the location of patient through co-ordinates to the LORA module.Here the GPS is connected to LORA module. The code is flashed to the LORA module using theARDUINO IDE Software tool. The two modules at the transmitter are integrated into a wristband and is attached to the dementia patients. At the receiver side, the system consists of aLORA module which acts as a receiver, and a mobile phone through which the location can bedisplayed. At the transmitter side, the data received by LORA transmitter from the GPS modulesends this data to LORA receiver at the receiver side. This data at the receiver LORA module isnow given to a cloud called “THING SPEAK” and this data is sent to the MIT Software tool todevelop the application, through this application the location is traced onto the mobile phone.5.1 TRANSMITTER PARTHere we interface Beitian 280 GPS module with TTGO LORA ESP32 SX1276 module. The pinswe used in GPS module are Tx, VCC, Ground and the pins we used in TTGO LORA 32 isRx.TTGO LORA 32 is powered through micro USB port using 5 volts battery.To power the GPSmodule we require 3.3 to 5 V. It is given by the LORA 32 voltage out pin. As the LORA 32comes with inbuilt OLED display, it is internally connected to TTGO LORA 32 module throughSDA(GPIO 4),SCL(GPIO 15), RST(GPIO 16) pins. The OLED display communicates using I2Cprotocol.The GPS module receives the data from GPS satellite and the data can be send to theother devices using the Tx pin of GPS module.The data is received from the GPS modulethrough the Rx pin (GPIO 3) of TTGO LORA 32 module.After receiving the data latitude andlongitude values are separated from the obtained data and send to receiver LORA module.Fig 4 Interfacing GPS and LORA module5.2 RECEIVER PARTThe receiver LORA module receives the latitude and longitude data and these data is stored inTHING SPEAK cloud services. Now the data from THING SPEAK is send to mobileapplication. This mobile application is developed using MIT APP INVENTOR.Using the mobileapplication the data is mapped into the Google maps. The data received from the transmitterLORA module have lattitude and longitude values are 17.9218 , 83.4255.Volume 10 Issue 4 - 2020747www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741Fig 5 LoRa ReceiverThe coordinates received from the LORA receiver are uploaded into the THING SPEAK usingthe write URL of the corresponding channel.We took one channel in THING SPEAK and weassigned two fields one is for longitude and other is for latitude. The time at which we haveuploaded data contains the date & time of the uploaded data , latitude and longitude values.Thex-axis contains latitude ,longitude values and y-axis contain the date at which we have uploadedthe data.Fig 6 THING SPEAK ResultThe coordinates stored in THING SPEAK is given to mobile application. The Fig 4.4 shows thedevelopment of mobile application through MIT APP INVENTOR.Through these application wegets the lattitude ,longitude values from the TTGO lora32 .The data obtained from the THINGSPEAK is in the form of JSON (java script object notation)This JSON data is segmented and thelatitude and longitude values are extracted.The data that is extracted (i.e., latitude and longitude)values are given to the google maps URL.6. RESULTS6.1 Integrating LoRa module with GPS ModuleThe location coordinates of the transmitter are traced on the TTGO LoRa32 SX1276 OLEDwhich is integrated with the Beitian 280 GPS module.Volume 10 Issue 4 - 2020748www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741Fig 7 Integrating LoRa module with GPS Module6.2 LORA RECEIVERThese coordinates are sent to the TTGO LoRa32 SX1276 OLED Receiver .Fig 8 LoRa Receiver6.3 JSON DataNow, the received coordinates uses ThingSpeak cloud and sends this data in the form ofJSON (JavaScript Object Notation) to the app which is designed using MIT App Inventor .Volume 10 Issue 4 - 2020749www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741Fig 9 JSON data6.4 Location on Google MapsNow, the coordinates are mapped onto real-time Google Maps location.Fig 10. Location on Google MapsVolume 10 Issue 4 - 2020750www.joics.org
Journal of Information and Computational ScienceISSN: 1548-7741References[1] C. Bouras, A. Gkamas, V. Kokkinos and N. Papachristos, "Using LoRa Technology for IoTMonitoring Systems," 2019 10th International Conference on Networks of the Future (NoF),Rome, Italy, 2019, pp. 134-137.[2] J. G. James and S. Nair, "Efficient, real-time tracking of public transport, using LoRaWANand RF transceivers," TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, 2017, pp.2258-2261.[3] N. Hayati and M. Suryanegara, "The IoT LoRa system design for tracking and monitoringpatient with mental disorder," 2017 IEEE International Conference on Communication,Networks and Satellite (Comnetsat), Semarang, 2017, pp. 135-139.[4]R. K. Kodali, "Radio data infrastructure for remote monitoring system using loratechnology," 2017 International Conference on Advances in Computing, Communications andInformatics (ICACCI), Udupi, 2017, pp. 467-472.[5] Beginning LoRa Radio Networks with Arduino: Build Long Range, Low Power Wireless IoTNetworks Paperback – February 19, 2019 by Pradeeka Seneviratne (Author)[6] A Study of LoRa: Long Range & Low Power Networks for the Internet of Things AloÿsAugustin1 , Jiazi Yi 1,*, Thomas Clausen 1 and William Mark Townsley 2. Academic Editor:Dongkyun Kim Received: 20 May 2016; Accepted: 1 September 2016 ; Published: 9 September2016.[7]Building Wireless Sensor Networks with ESP32 LoRa Kindle Edition by AgusKurniawan (Author).[8] Semtech, “Semtech lora technology selected for australias first iot network,” 2017.[9] Alzheimer’s Association, “Key facts and statistics 2016,” 2017.[10] Alzheimer’s Association, “Gps tracking and monitoring devices,” 2017.[11] R. Koester, Lost Person Behavior: A Search and Rescue Guide on Where to Look forLand, Air, and Water, vol. 1. dbS Productions LLC, P.O. Box 94, Charlottesville, VA 22902: dbSProductions LLC, 1 ed., 8 2008.[12] A. A, Y. J, C. T, and T. WM., “A Study of LoRa: Long Range & Low Power Networks forthe Internet of Things,” Sensors, vol. 16, no. 9, p. 1466, 2016.[13] R. Jurdak, P. Corke, D. Dharman, and G. Salagnac, “Adaptive gps duty cycling and radioranging for energy-efficient localization,” in The 8th ACM Conference on Embedded NetworkedSensor Systems (SenSys 2010), (ETH Zurich, Zurich), pp. 57–73, Association for ComputingMachinery (ACM), 2010.[14] IoT Hub, “Meshed launches public lorawan network in wollongong,” 2016.Volume 10 Issue 4 - 2020751www.joics.org
TRACKING OF DEMENTIA PATIENTS USING GPS & LORA WIFI *G Gayatri 1, T Pavan2, V Meghana3, S Sowjanya4 and S K Yaseen5 1Assistant Professor, ANITS 2,3,4,5Students,ANITS 1gayatri.ece@anits.edu.in 2temburu.2016.ece@anits.edu.in 3vuppala.2016.ece@anits.edu.in 4sowjanya.2016.ece@anits.edu.in 5yaseen.2016.ece@anits.edu.in ABSTRACT Dementia is a state
2. Talking about dementia 6 3. Talking about people with dementia 8 4. Talking about the effects of dementia 10 Symptoms 11 The impact of dementia 13 5. Talking about people caring for a person with dementia 14 6. Glossary of preferred terms 17 7. Cultural awareness and dementia 20
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