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Storing RGB and Thermal Data Using ESP32-CAM Module

less than 1 minute read

In this post I explained how you could get thermal and RGB data using ESP32-CAM and MLX90640 modules. The code will continuously collect RGB and thermal camera data and store them on an SD card. You can also find the schematic of the circuit. The firmware will sample data at about 3 fps for RGB and thermal modules. You can modify this code to interface ESP32-CAM with any device that supports I2C and include that in your project.

Gas Sensor Selection Guide

19 minute read

I have been involved in a project that required us to use multiple gas sensors. I had to do research on these sensors to select the right sensors for our project. In addition, gas sensors need to be calibrated as well. In this article, I explain how we may select the right gas sensors for a project and the potential ways to calibrate a gas sensor. There are certain points that need to be considered before sensor selection which include:

Handling Power Hungry Sensors in a Low-Power Project

less than 1 minute read

In this post I explained how one can use 5V power-hungry sensors via 3.3V microcontroller. There are still several sensors that need to be powered by 5V power supply. However, more recent development boards are eqquiped with 3.3V microcontrollers. As a result, we need to address some serious challenges. Challenges include:

SmartSock

less than 1 minute read

The purpose of this project was to build a wearable system that can be used for reliable ankle edema quantification. Ankle edema is an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and kidney failure, diabetes, etc. SmartSock is a real-time and activity-sensitive wearable system for monitoring ankle edema.

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publications

Smart-cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema

Ramin Fallahzadeh, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael Ong, Hassan Ghasemzadeh. (2015). "mart-cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema." IEEE International Conference on Pervasive Computing and Communication Workshops. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/Smart_Cuff_A_Wearable_Bio_Sensing_Platfo.pdf

Smartsock: A wearable platform for context-aware assessment of ankle edema

Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh. (2016). "Smartsock: A wearable platform for context-aware assessment of ankle edema." 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://github.com/mahdipedro/mpedram.github.io/blob/master/files/SmartSock_A_Wearable_Platform_for_Contex.pdf

A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors

Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh. (2017). 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). https://github.com/mahdipedro/mpedram.github.io/blob/master/files/beverage.pdf

Toward ultra-low-power remote health monitoring: An optimal and adaptive compressed sensing framework for activity recognition

Josue Pagan, Ramin Fallahzadeh, Mahdi Pedram, Jose L Risco-Martin, Jose M Moya, Jose L Ayala, Hassan Ghasemzadeh. (2015). "Toward ultra-low-power remote health monitoring: An optimal and adaptive compressed sensing framework for activity recognition." IEEE Transactions on Mobile Computing. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/toward%20ultra-low-power.pdf

CyclePro: A robust framework for domain-agnostic gait cycle detection

Yuchao Ma, Zhila Esna Ashari, Mahdi Pedram, Navid Amini, Daniel Tarquinio, Kouros Nouri-Mahdavi, Mohammad Pourhomayoun, Robert D Catena, Hassan Ghasemzadeh. (2019). IEEE Sensors Journal. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/cycle_pro.pdf

Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification

Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh. (2019). IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). https://arxiv.org/pdf/1907.03247.pdf

Resource-Efficient Computing in Wearable Systems

Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh. (2019). IEEE International Conference on Smart Computing (SMARTCOMP). https://arxiv.org/pdf/1907.03247.pdf

TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems

Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh. (2020). "TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems." ACM Transactions on Design Automation of Electronic Systems (TODAES). https://dl.acm.org/doi/abs/10.1145/3414062

Mobile System to Monitor Type and Volume of Liquid Intake

Mahdi Pedram, Seyed Iman Mirzadeh, Seyed Ali Rokni, Ramin Fallahzadeh, Diane Myung-kyung Woodbridge, Sunghoon Ivan Lee, Hassan Ghasemzadeh. (2021). "Mobile System to Monitor Type and Volume of Liquid Intake." IEEE Sensors Journal. https://ieeexplore.ieee.org/abstract/document/9432862

Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables

Mahdi Pedram, Ramesh Kumar Sah, Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh. (2022). "Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables." IEEE Sensors Journal. https://ieeexplore.ieee.org/abstract/document/9775943

SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T

Soroush Shahi, Mahdi Pedram, Glenn Fernandes, Nabil Alshurafa (2022). BSN 2022. https://ieeexplore.ieee.org/abstract/document/9928492

SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal

Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen,Christopher Romano, Mahdi Pedram, Josiah Hester, Aggelos K Katsaggelos, Nabil Alshurafa. IMWUT 2023. https://dl.acm.org/doi/abs/10.1145/3569460

Experience: Barriers and Opportunities of Wearables for Eating Research

Mahdi Pedram, Glenn Fernandes, Christopher Romano, Boyang Wei, Sougata Sen, Josiah Hester, Nabil Alshurafa (2023). CHI 2023.

Detecting Eating, and Social Presence with All Day Wearable RGB-T

Soroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao, Aggelos K Katsaggelos, Josiah Hester, Nabil Alshurafa. (2023). "Detecting Eating, and Social Presence with All Day Wearable RGB-T." ACM CHASE.

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