CMSC-715 [Fall 2021]: Course Project Ideas

General Information

Projects

Project ID

Topic/description

Team


Project: 01

Vibro-acoustic Speech Recognition
The smartphone may sense both sound and vibration during a phone call. This project will leverage both these channels for better speech recognition in a noisy environment.

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Project: 02

Localizing and Tracking Passive RFID Tags

This project will use multiple reader antennas to localize the 2D position of an RFID tag and will track a moving tag over time.

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Project: 03

Head Gesture Analysis using smart earphones and its Applications

This project will use sensors in smart earphones to determine head gestures and leverage this information for applications in eating behavior analysis, active listening, long-term sedentary work, and so on.

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Project: 04

Direction of Arrival (DoA) Estimation Using Tiny Array

This project will implement an improvised MUSIC algorithm to estimate high-accuracy DoA of sound signals using a small microphone array. The total aperture of the array is less than a thousandth of the target wavelength.

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Project: 05

Traffic Analytics through Sound Analysis

This project will use an acoustic array for spatial sound analysis at a traffic signal. This will provide various information about the traffic situation at that place.

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Project: 06

Acoustic Scene Analysis from the Public Videos

On social media, users post videos of the same event taken from different locations. This project will leverage sound taken from these videos for acoustic scene analysis.

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Project: 07

Soft Tissue Imaging using Visible Light

This project will apply tomography techniques with visible light to find any tumor under soft tissues in the human body.

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Project: 08

Hand-held ultrasound device for bone-fracture detection

This project will use 2 MHz ultrasound to detect hairline bone fractures.

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Project: 09

Preventing Inaudible Attacks on Voice Assistants

This project will use active techniques to prevent ultrasound attacks (BackDoor) on the voice assistants (Amazon Echo, Google Home).

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Project: 10

Interaction between Smart-car and Pedestrians using DSRC/5G protocol

This project will develop a secure and agile method to communicate between smart-cars and pedestrians to ensure safe co-existence.

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Project: 11

Detect Breathing Pattern Using Wearable Sensors

This project will use wearable acoustic/vibration sensors to detect the users' breathing pattern and will run analytics on this.

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Project: 12

Smart Exoskeleton for Hands

This project will develop an assistive exoskeleton for hands using posture detection and micro-prediction techniques.

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Project: 13

Infants' activity/sleep/breathing monitoring using non-invasive sensors
This project will use microphone and motion sensors on the crib to infer various activities of the baby.

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Project: 14

High-speed screen-to-camera data communication
This project will use modulated pixels on the computer's screen to establish high data-rate communication through the smartphone's camera.

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Project: 15

Privacy-preserving sensing for edge computing
This project will develop methods that enable continuous monitoring of daily activities at network edges while ensuring user's privacy.

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Project: 16

Acoustic tomography for detecting 3D shape on an object
This project will use multiple acoustic transmitters and receivers around an object and apply tomography techniques to find the 3D shape of the object.

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Project: 17

Fine-grained hand gesture recognition using ultrasound reflections
This project will use a bed of ultrasound transducers for fine-grained hand gesture recognition. The transducer-bed will transmit signals and observe the reflections for gesture recognition.

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Project: 18

Charting the interior shape of a cave/tunnel using drone mounted-sensor
This project will develop low-power sensing techniques to create a model of a closed region using sensors mounted on a drone.

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Project: 19

Ultrawideband acoustic sensing
This project will develop methods to use the acoustic frequency band from DC to 100kHz.

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Project: 20

Tracking UWB tags
This project will develop computationally efficient methods for tracking tags using ultra-wide-band radio.

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Project: 21

Acoustic virtual reality
This project will use smart headphones to track head motion and will play the binaural sound accordingly to create an illusion of the 3D acoustic scene.

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Project: 22

Passive structure based low-power gesture-recognition
This project will use a 3d-printed structure and ultrasound transducer for hand gesture recognition. The 3d structure will embed direction specific signature to the reflected signals which will help in gesture recognition.

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Project: 23

Active noise cancellation in earphones
This project will use the earphones/headphones as an array or sound sensors. The array will beamform towards the user and use the harmonic structure of speech signal to improve the noise cancellation.

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