Project

# Title Team Members TA Documents Sponsor
39 Hand gesture controlled audio effects system
 Sarthak Singh
Sergio Bernal
Zachary Baum
 Zicheng Ma design_document1.pdf
design_document2.pdf
final_paper1.pdf
photo1.png
photo2.png
presentation1.pptx
proposal1.pdf
Team Members:
Sarthak Singh (singh94)
Zachary Baum (zbaum2)
Sergio Bernal (sergiob2)

Problem
In audio production, both amateur and professional settings lack intuitive, hands-free control over audio effects. This limitation restricts the creativity and efficiency of users, particularly in live performance scenarios or in situations where physical interaction with equipment is challenging.

Solution Overview
Our project aims to develop a gesture-controlled audio effects processor. This device will allow users to manipulate audio effects through hand gestures, providing a more dynamic and expressive means of audio control. The device will use motion sensors to detect gestures, which will then adjust various audio effect parameters in real-time.

Solution Components:

Gesture Detection Subsystem:
The Gesture Detection Subsystem in our audio effects system uses a camera to track hand movements and orientations. The camera will be connected to a Raspberry PI which then sends signals to our custom PCB. The system processes sensor data in real time, minimizing latency and filtering out inaccuracies. Users can customize gesture-to-effect mappings, allowing for personalized control schemes. This subsystem is integrated with the audio processing unit, ensuring that gestures are seamlessly translated into desired audio effect alterations.


Audio Processing Subsystem:

The Audio Processing Subsystem uses a DSP algorithm to modify audio signals in real time. It includes various audio effects like reverb and delay, which change based on the user's hand gestures detected by the Gesture Detection Subsystem. This part of the system allows users to customize these effects easily. The DSP works closely with the gesture system, making it easy for users to control audio effects simply through gestures. Specifically, we are using a STM32 microcontroller on a custom PCB to handle this subsystem.

Control Interface Subsystem:
The Control Interface Subsystem in our audio effects processor provides a user-friendly interface for displaying current audio effect settings and other relevant information. This subsystem includes a compact screen that shows the active audio effects, their parameters, and the intensity levels set by the gesture controls. It is designed for clarity and ease of use, ensuring that users can quickly glance at the interface to get the necessary information during live performances or studio sessions.

Power Subsystem:

The Power Subsystem for our audio effects processor is simple and direct. It plugs into a standard AC power outlet and includes a power supply unit that converts AC to the DC voltages needed for the processor, sensors, and control interface. This design ensures steady and reliable power, suitable for long use periods, without the need for batteries.
Criterion for Success:
Our solution will enable users to intuitively control multiple audio effects in real time through gestures. The device will be responsive, accurate, and capable of differentiating between a wide range of gestures. It will be compatible with a variety of audio equipment and settings, from studio to live performance.

Alternatives:

Existing solutions are predominantly foot-pedal or knob-based controllers. These are limiting in terms of the range of expression and require physical contact. Our gesture-based solution offers a more versatile and engaging approach, allowing for a broader range of expression and interaction with audio effects.

Healthy Chair

Ryan Chen, Alan Tokarsky, Tod Wang

Healthy Chair

Featured Project

Team Members:

- Wang Qiuyu (qiuyuw2)

- Ryan Chen (ryanc6)

- Alan Torkarsky(alanmt2)

## Problem

The majority of the population sits for most of the day, whether it’s students doing homework or

employees working at a desk. In particular, during the Covid era where many people are either

working at home or quarantining for long periods of time, they tend to work out less and sit

longer, making it more likely for people to result in obesity, hemorrhoids, and even heart

diseases. In addition, sitting too long is detrimental to one’s bottom and urinary tract, and can

result in urinary urgency, and poor sitting posture can lead to reduced blood circulation, joint

and muscle pain, and other health-related issues.

## Solution

Our team is proposing a project to develop a healthy chair that aims at addressing the problems

mentioned above by reminding people if they have been sitting for too long, using a fan to cool

off the chair, and making people aware of their unhealthy leaning posture.

1. It uses thin film pressure sensors under the chair’s seat to detect the presence of a user,

and pressure sensors on the chair’s back to detect the leaning posture of the user.

2. It uses a temperature sensor under the chair’s seat, and if the seat’s temperature goes

beyond a set temperature threshold, a fan below will be turned on by the microcontroller.

3. It utilizes an LCD display with programmable user interface. The user is able to input the

duration of time the chair will alert the user.

4. It uses a voice module to remind the user if he or she has been sitting for too long. The

sitting time is inputted by the user and tracked by the microcontroller.

5. Utilize only a voice chip instead of the existing speech module to construct our own

voice module.

6. The "smart" chair is able to analyze the situation that the chair surface temperature

exceeds a certain temperature within 24 hours and warns the user about it.

## Solution Components

## Signal Acquisition Subsystem

The signal acquisition subsystem is composed of multiple pressure sensors and a temperature

sensor. This subsystem provides all the input signals (pressure exerted on the bottom and the

back of the chair, as well as the chair’s temperature) that go into the microcontroller. We will be

using RP-C18.3-ST thin film pressure sensors and MLX90614-DCC non-contact IR temperature

sensor.

## Microcontroller Subsystem

In order to achieve seamless data transfer and have enough IO for all the sensors we will use

two ATMEGA88A-PU microcontrollers. One microcontroller is used to take the inputs and

serves as the master, and the second one controls the outputs and acts as the slave. We will

use I2C communication to let the two microcontrollers talk to each other. The microcontrollers

will also be programmed with the ch340g usb to ttl converter. They will be programmed outside

the board and placed into it to avoid over cluttering the PCB with extra circuits.

The microcontroller will be in charge of processing the data that it receives from all input

sensors: pressure and temperature. Once it determines that there is a person sitting on it we

can use the internal clock to begin tracking how long they have been sitting. The clock will also

be used to determine if the person has stood up for a break. The microcontroller will also use

the readings from the temperature sensor to determine if the chair has been overheating to turn

on the fans if necessary. A speaker will tell the user to get up and stretch for a while when they

have been sitting for too long. We will use the speech module to create speech through the

speaker to inform the user of their lengthy sitting duration.

The microcontroller will also be able to relay data about the posture to the led screen for the

user. When it’s detected that the user is leaning against the chair improperly for too long from

the thin film pressure sensors on the chair back, we will flash the corresponding LEDs to notify

the user of their unhealthy sitting posture.

## Implementation Subsystem

The implementation subsystem can be further broken down into three modules: the fan module,

the speech module, and the LCD module. This subsystem includes all the outputs controlled by

the microcontroller. We will be using a MF40100V2-1000U-A99 fan for the fan module,

ISD4002-240PY voice record chip for the speech module, and Adafruit 1.54" 240x240 Wide

Angle TFT LCD Display with MicroSD - ST7789 LCD display for the OLED.

## Power Subsystem

The power subsystem converts 120V AC voltage to a lower DC voltage. Since most of the input

and output sensors, as well as the ATMEGA88A-PU microcontroller operate under a DC voltage

of around or less than 5V, we will be implementing the power subsystem that can switch

between a battery and normal power from the wall.

## Criteria for Success

-The thin film pressure sensors on the bottom of the chair are able to detect the pressure of a

human sitting on the chair

-The temperature sensor is able to detect an increase in temperature and turns the fan as

temperature goes beyond our set threshold temperature. After the temperature decreases

below the threshold, the fan is able to be turned off by the microcontroller

-The thin film pressure sensors on the back of the chair are able to detect unhealthy sitting

posture

-The outputs of the implementation subsystem including the speech, fan, and LCD modules are

able to function as described above and inform the user correctly

## Envision of Final Demo

Our final demo of the healthy chair project is an office chair with grids. The office chair’s back

holds several other pressure sensors to detect the person’s leaning posture. The pressure and

temperature sensors are located under the office chair. After receiving input time from the user,

the healthy chair is able to warn the user if he has been sitting for too long by alerting him from

the speech module. The fan below the chair’s seat is able to turn on after the chair seat’s

temperature goes beyond a set threshold temperature. The LCD displays which sensors are

activated and it also receives the user’s time input.

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