Project

# Title Team Members TA Documents Sponsor
32 Parents of the Future (revised)
 Damian Komosa
Sasan Erfan
Yarshun Jayakumar
 David Null design_document2.pdf
final_paper1.pdf
presentation1.pptx
proposal1.pdf
Net ID/Name of all group members: Sasan Erfan (serfan2), Damian Komosa (dkomos2), Yarshun Jayakumar (yarshun2)

General Description:
Parents tend to spend more time than they need trying to get their kids to complete their chores. Our project aims to give parents an efficient way to manage their children’s chores. It is an IoT tool that allows parents to remotely monitor whether chores have been completed by their children. Via attaching sensors to the trash can, the sink and the laundry bin and creating a local network between the sensors and the parents’ computer, chores can be easily monitored. The weight sensor would be able to measure the weight of the load, which would be the first indication that the chore needs to be done. The weight sensor will be paired with a ultrasonic sensor which will measure distance and indicate when the specified bin is filled. The network is interfaced with a web application that allows the parents to monitor the status of the home objects and allows the children to see how they match up against each other.

What makes our project unique?
Most IoT applications focus on enhancing the capabilities of a single home peripheral, and often implement statistical tracking so that the average consumer can gain more insight into their daily lives. In our case, we use a broad IoT approach to solve a lifestyle problem as opposed to enhancing the capabilities of a single device.

Competitors/Alternatives:
There are no competitors to this specific problem. The closest competitors we have are smart faucets and smart trash cans, such as the Delta Touch20 Faucet and the Bruno smartcan, but these are created with the intention of creating convenience via IoT.
Brief technical overview provide high level understanding.

Brief Technical Overview:
Via three micro controllers, a linux compatible microprocessor, weight sensors, ultrasonic sensors and a host linux Docker container, a local network is created tracking the status of each home utility. Linux provides a variety of networking packages that allow a client server to be established. After instantiating a Docker container to run the server, the web interface connects with Docker’s bridge network to visualize the data. The microprocessor and microcontroller will be designed via PCB, with the microprocessor at minimum supporting ethernet and Linux functionality. The microcontroller will be connected directly to the ultrasonic sensor and weight sensor with the goal of data acquisition. The design will be powered with a 9V battery, which would have the capability to power the microprocessor, as well as the low- power sensor components.

Low Cost Myoelectric Prosthetic Hand

Michael Fatina, Jonathan Pan-Doh, Edward Wu

Low Cost Myoelectric Prosthetic Hand

Featured Project

According to the WHO, 80% of amputees are in developing nations, and less than 3% of that 80% have access to rehabilitative care. In a study by Heidi Witteveen, “the lack of sensory feedback was indicated as one of the major factors of prosthesis abandonment.” A low cost myoelectric prosthetic hand interfaced with a sensory substitution system returns functionality, increases the availability to amputees, and provides users with sensory feedback.

We will work with Aadeel Akhtar to develop a new iteration of his open source, low cost, myoelectric prosthetic hand. The current revision uses eight EMG channels, with sensors placed on the residual limb. A microcontroller communicates with an ADC, runs a classifier to determine the user’s type of grip, and controls motors in the hand achieving desired grips at predetermined velocities.

As requested by Aadeel, the socket and hand will operate independently using separate microcontrollers and interface with each other, providing modularity and customizability. The microcontroller in the socket will interface with the ADC and run the grip classifier, which will be expanded so finger velocities correspond to the amplitude of the user’s muscle activity. The hand microcontroller controls the motors and receives grip and velocity commands. Contact reflexes will be added via pressure sensors in fingertips, adjusting grip strength and velocity. The hand microcontroller will interface with existing sensory substitution systems using the pressure sensors. A PCB with a custom motor controller will fit inside the palm of the hand, and interface with the hand microcontroller.

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