Mobile App Dev for Vertigo Test

@om26er

Hello, i have already worked on an Android app to read Acceleromter data for Parkinson's Disease Patients, i have sample source code for you to show you my specific experience. i am a mobile applications developer and i have more than 8 years of experience developing mobile applications with backend services. i have completed more than 525 projects either local or internet based. i am supet confident i will provide you best quality software services on time and on budget. Let's chat to proceed.

@eclairios

Hello, This project's focus on mobile sensor fusion for gait and balance analysis, particularly for vertigo assessment, presents an exciting challenge. I recognize the critical need for precise signal processing and drift compensation to deliver medical-grade accuracy in quantifying body deviation and rotation from IMU data. Mobile Developer: Sensor Fusion & Signal Processing for Gait & Balance Analysis. I’m Waqas from Eclairios, a professional software engineer with over 7 years of experience in app and web development. I have successfully completed 128 projects, earning a 5.0 rating from satisfied clients. I specialize in mobile apps (Android, iOS, Flutter), website development, custom APIs, and backend solutions. My goal is to deliver high-quality, scalable solutions that meet your business needs. Why hire me? ★ 100+ Projects Completed with 5-star rating. ★ 3 months of free post-launch support ★ Expertise in advanced technologies and systems Let’s connect and discuss how I can help you with your project. Best regards, Waqas

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re building a vertigo-focused mobile app that performs Digital Fukuda Stepping Test using gyroscope and accelerometer data, with sensor fusion, yaw rotation calculation, displacement tracking, and drift compensation for clinically reliable gait/balance analysis. I’ve worked with IMU-based motion tracking and implemented sensor fusion with filtering for orientation and movement analysis in mobile environments. My approach would be to capture synchronized IMU streams, apply calibration and gravity separation, then implement Mahony/Kalman-based fusion for stable yaw tracking. From there I’d compute rotation angle, displacement, and export structured metrics suitable for clinical interpretation, with repeatable test sessions. I have a few questions to get a better understanding: Q1 – Which platform are you targeting first: iOS, Android, or cross-platform? Q2 – How will the phone be worn (handheld, pocket, chest mount, or head-mounted) for the Fukuda test? Q3 – Do you need raw IMU export for clinicians, or only processed metrics like yaw angle and deviation? Looking forward to hearing from you.

@AITSoft

Hello, I understand you need a mobile app for balance and gait analysis focused on the Digital Fukuda Stepping Test to aid vertigo assessment. I'll capture real-time sensor data from the phone’s gyroscope and accelerometer and use sensor fusion techniques like Kalman or Mahony filters to ensure accurate measurements by reducing drift and noise. I’ll implement an algorithm to calculate the angle of rotation and displacement during the stepping exercises. I have experience in mobile sensor data, motion tracking, and signal processing with proven projects to show. I’m confident I can deliver precise results for clinical use. What platforms should the app support: iOS, Android, or both? Do you have existing clinical test protocols or sample data for validation? Are there specific requirements for data presentation or exporting results? What level of user interface detail and interaction is expected? Is integration with other medical systems or databases required?What platforms (iOS, Android) must the app support, and do you have any clinical data for testing? Thanks,

@kamran2012

Interesting project, I will implement the Digital Fukuda Stepping Test — real-time gyroscope and accelerometer fusion, yaw angle of rotation calculation, and displacement tracking — all running on-device during stepping-in-place exercises. For drift compensation, I will apply a complementary Mahony filter with adaptive gain tuning rather than a full Kalman filter. Mahony is significantly lighter on mobile hardware while delivering comparable orientation accuracy for slow-motion tasks like stepping. This keeps battery draw low and maintains consistent sampling rates, which matters when medical-grade precision depends on uninterrupted sensor capture. I am happy to share relevant sensor fusion work in our chat. Questions: 1) Which platform first — iOS or Android — and is the app native or cross-platform? Ready to start whenever you are. Kamran

@Herculesz

Hi I have strong experience working with IMU data, sensor fusion, and real-time signal processing in mobile environments, including accelerometer and gyroscope integration with Kalman and complementary filtering. The main technical challenge in this project is achieving accurate yaw rotation and displacement measurement during stepping while minimizing drift and noise from low-cost mobile sensors. I solve this by combining sensor fusion techniques (Kalman/Mahony filters), quaternion-based orientation tracking, and drift correction strategies to maintain stable heading estimation over time. I can implement the Digital Fukuda Stepping Test with real-time data capture, calculate angle of rotation and positional deviation, and ensure clinically meaningful outputs through filtered and calibrated signals. My approach focuses on robust mathematical modeling, smoothing noisy signals, and validating outputs against expected motion patterns for reliability. The result will be a precise, scalable module suitable for integration into a medical-grade mobile application. Thanks, Hercules

@rbtech1984

Hi There!!! ★★★★ ( Build mobile sensor fusion system for vertigo gait & balance analysis ) ★★★★ I understand you need a mobile developer to implement sensor-based gait and balance tracking using gyroscope/accelerometer data for the Digital Fukuda Test, including yaw calculation, drift correction, and clinical-grade accuracy. ⚜ Real-time IMU sensor data capture (Android/iOS) ⚜ Sensor fusion using Kalman/Mahony filtering ⚜ Digital Fukuda stepping test algorithm (yaw + displacement) ⚜ Drift compensation & noise reduction logic ⚜ Motion tracking for gait & balance analysis ⚜ Clean structured medical data output ⚜ Performance optimized signal processing pipeline I have experience in mobile sensor data processing and signal filtering for motion tracking systems, including IMU-based analysis and real-time data correction techniques. I’ll implement stable sensor fusion, accurate rotation tracking, and clean output suitable for clinical evaluation. Focus will be on precision, reliability, and smooth real-time performance. Let’s connect and discuss your technical setup. Warm Regards, Farhin B.

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have over 10 years of experience in mobile app development, with deep expertise in sensor fusion and signal processing. My background includes developing algorithms for real-time motion tracking, which aligns perfectly with your needs for the Digital Fukuda Stepping Test. I focus on creating scalable and accurate applications, ensuring that crucial data on vestibular health is captured efficiently through advanced mobile sensors. My previous projects include work on gait analysis and orientation algorithms, utilizing tools like Kalman filters for noise reduction to maintain medical-grade accuracy. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to discuss it further. Could you clarify: Could you provide more details regarding the exact timeline and any existing work you would like to reference? Let’s discuss over chat! Regards, Arpit Jaiswal

@a4logic

Hello, As an experienced mobile app developer with a specialization in sensor fusion and signal processing, I am confident that my expertise aligns perfectly with your requirements for this project. My team at Our Software has a deep understanding of the complex math involved in sensor drift and filtering like using Kalman or Mahony filters that are essential to eliminate noise and deliver medical-grade accuracy - a key aspect called out in your project. We have successfully developed similar apps that involved capturing real-time data from smartphones' sensors precisely like gyroscope and accelerometer. One of our standout projects included building a gait analysis app which used advanced algorithms to track motion and orientation effectively. This experience makes us well-positioned to implement the Digital Fukuda Test for your vertigo-related application in order to calculate precise angles of rotation and displacement during fitness exercises. Our commitment isn't just to create generic apps; it's about creating groundbreaking, tailored solutions that make an impact. With our technical prowess, passion, high-quality work approach, and dedication to client success, we are excited at the prospect of turning your vision into reality. You can be assured, choosing us means choosing excellence every step of the way. Let's partner together to revolutionize how vertigo is diagnosed and treated! Thanks!

@codefusion53

Hi I have extensive experience in mobile sensor fusion and signal processing, particularly with IMU‑based motion tracking and gait analysis. I can develop a smartphone module that captures gyroscope and accelerometer data in real time, applies Kalman or Mahony filtering for drift compensation, and computes precise yaw rotation and displacement for the Digital Fukuda Stepping Test. Using native mobile APIs and optimized sampling control, I’ll ensure accurate synchronization of sensor streams and noise‑reduced orientation estimation. The processed data will yield clinically meaningful metrics such as deviation angle, step symmetry, and balance stability. I can also include visual feedback and export options for clinician review. My background in applied mathematics and prior projects involving sensor fusion, gait tracking, and biomedical signal analysis ensure medical‑grade accuracy and reliability. I can share relevant demos and algorithm samples upon request. Best, Justin

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- Develop a mobile application with accurate sensor fusion and signal processing for gait and balance analysis in vertigo assessment. I carefully read your requirements and understand you need precise IMU data capture, Fukuda test implementation, and advanced filtering like Kalman or Mahony to ensure accurate rotation and displacement tracking. I am a strong fit because I have experience working with sensor based mobile applications and implementing reliable signal processing algorithms. • Real time gyroscope and accelerometer data capture with sensor fusion • Algorithm for Fukuda stepping test to calculate yaw rotation and displacement • Drift correction using filtering techniques for high accuracy results I will also provide clean UI design, structured data handling, full testing across devices, and complete source code delivery. With 9+ years of experience, I have worked on similar motion tracking and sensor data analysis projects. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@hayat38402

Hi, how are you doing? I went through your project description and I can help you in your project. your project requirements perfectly match my expertise. We are a team of Electrical and Electronics engineers, we have successfully completed 1000+ Projects for multiple regular clients from OMAN, UK, USA, Australia, Canada, France, Germany, Lebanon and many other countries. We are providing our services in following areas:  Antenna Design (CST, HFSS)  Embedded C Programming.  VHDL/Verilog, Quartus/Vivado, LabVIEW/ Multisim/PSPICE/VLSI  MATLAB/SIMULINK  Network Simulator NS2/NS3  Microcontroller like Arduino, Raspberry Pi, FPGA, AVR, PIC, STM32 and ESP32.  IDEs like Keil MDK V5, ATmel studio and MPLab XC8.  PLCs / SCADA  PCB Designing Proteus, Eagle, KiCAD and Altium  IOT Technologies like Ethernet, GSM GPRS.  HTTP Restful APIs connection for IOT Communications. Also, we have good command over report writing, I can show you many samples of our previous reports. Kindly consider us for your project and text me so that we can further discuss specifically about your project's main goals and requirements.

@chandankandar007

As a full-stack developer with over 13+ years of experience, I have mastered the key skills needed for your project. My deep understanding of sensor fusion and signal processing allows me to design solutions that capture, analyze, and filter IMU data with pinpoint accuracy. In fact, my portfolio includes several projects that utilized mobile sensors and motion tracking algorithms to measure gait and orientation, areas crucial to understanding and addressing vertigo issues. When it comes to your Digital Fukuda Stepping Test, my mathematical background plays a crucial role in drift compensation. Utilizing Kalman or Mahony filters efficiently is a skill that I have honed over the years; ensuring medical-grade accuracy by effectively eliminating sensor noise. Moreover, my proficiency in mobile app development proves the ability to deliver robust, scalable and maintainable systems. Furthermore, I excel in giving clarity to system complexities with effective module designing. By choosing me, you are putting your project in capable hands - someone who not just codes pragmatically but also understands the security SOPs around encryption. Let us join forces to create a mobile solution that is more than just lines of code but a holistic product aimed at helping people suffering from vertigo gain better insights into their condition and ultimately find solace through improved balance and orientation.

@Hubready

Hello! I am a Florida-based senior software engineer with extensive experience in mobile app development and a solid understanding of signal processing and sensor fusion. I carefully read your project description for developing a mobile app for vertigo tests and am excited about the opportunity to contribute to such a meaningful project. With over 15 years in the field, I've worked on various applications, focusing on performance and stability, ensuring they meet real-world needs. My approach is structured, beginning with a thorough analysis of the motion sensor data, followed by developing robust algorithms for accurate results. Could you please clarify the following questions to help me better understand the project? 1. What specific features do you envision for the app that will enhance user experience? 2. Are there any specific platforms or devices you want to prioritize for the app deployment? In the past, I have developed apps that involved complex data analysis and real-time processing, such as: - A health monitoring app that utilizes sensor data for user insights. - An interactive fitness app that tracks user movements and provides feedback. - A diagnostic tool for physical therapy that analyzes motion. I am serious about making this project a success and look forward to discussing how we can achieve your goals together. Best, -James

@arbu1499

Hi there, I’ve reviewed your project on building a vertigo-focused mobile app using the Digital Fukuda Stepping Test, and I understand the importance of accurate IMU-based motion tracking for clinical reliability. I have hands-on experience working with smartphone sensor fusion (accelerometer + gyroscope) and implementing Kalman filtering for drift compensation in real-time movement analysis. I can develop precise yaw/rotation and displacement calculations to ensure stable gait and balance assessment data for your users. I also fully understand the need for medical-grade accuracy and can structure the system to be robust, clean, and testable with proper validation. Looking forward for your positive response in the chatbox. Best Regards, Arbaz M

@mughiraaa

hi, i have reviewed the details of your project. i can build the mobile sensor module for gait and balance analysis using imu data. i have worked with accelerometer and gyroscope based tracking and signal processing on mobile. i will capture sensor data in real time, apply kalman or mahony filtering to reduce noise, and implement the digital fukuda test to calculate rotation and movement accurately. the focus will be on clean, stable, and low latency results that can be used for clinical analysis. let’s have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. i will share my portfolio in the chat. mughiraa

@AlexDeveloper911

Hey, I can start now. ✅ I’ve worked on something very similar. What really matters here is the precision needed for gait and balance analysis in a vertigo-related app. The tricky part is usually capturing accurate real-time data from sensors and implementing complex algorithms for medical-grade accuracy. In a recent project, I developed a mobile app that utilized sensor fusion techniques for motion tracking in physical therapy assessments. While I haven't specifically worked on the Digital Fukuda Test, I have experience with similar signal processing challenges in movement analysis applications. Let's chat more details. -Alex

@KanzahAfaqAhmad

Hi There, I am excited about your project on Motion Sensor Analysis for a mobile app focused on gait and balance assessment. My expertise aligns seamlessly with your requirements for implementing the Digital Fukuda Test and ensuring accurate data collection using gyroscopes and accelerometers. With over 7 years of experience in Mobile App Development, specializing in Signal Processing, Algorithm design, and Data Analysis, I can deliver a solution that meets the medical-grade accuracy your application aims for. My background in Electrical Engineering equips me with a strong mathematical foundation necessary for drift compensation using techniques such as Kalman and Mahony filters. You can review my relevant work and portfolio here: https://www.freelancer.com/u/KanzahAfaqAhmad I am looking forward to the opportunity to work together and contribute to the success of your project. Thank you, Kanzah Afaq

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the need to implement accurate gait and balance analysis using smartphone sensor data, specifically for the Digital Fukuda Stepping Test. I have experience handling sensor-based applications and I’m available to start your project right now. I bring strong expertise in Mobile App Development (iOS/Android), signal processing, sensor fusion, and algorithm design with over 10 years of experience. In similar projects involving IMU data, I worked with gyroscope and accelerometer streams to calculate orientation and displacement using Kalman filtering for drift compensation, ensuring stable yaw estimation and reliable motion tracking suitable for real-time applications. One key challenge here is minimizing drift while maintaining responsiveness, so I would implement a filtered sensor fusion pipeline (Kalman or Mahony) combined with calibrated sampling and smoothing to deliver accurate rotation angle and displacement for clinical insights. I have a couple of quick questions. • Do you have a preferred platform (iOS, Android, or cross-platform) for the initial prototype? • Should the results be stored locally only or synced to a backend for clinician access? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos