Ultra-low power wireless sensor node design for health monitoring use cases

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

Development of industrially scalable graphene oxide acoustic transducers

The excellent mechanical properties and its lightness make graphene a revolutionary material as efficient audio transducers for speakers and headphones. Several studies have reported the superior performance of graphene diaphragm in electrostatic and thermoacoustic transducers [1-2]. However, these graphene diaphragms are produced from expensive methods with low scalability and are not suitable for application in the more popular mechanical transducer.

Ultra-low power connectivity platform for low power Internet of Things (IoT) sensor nodes

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

Graphene Oxide membranes for acoustic drivers

The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing loudspeaker technologies.
This project seeks to improve the manufacturing techniques and acoustic characteristics of these Graphene-CMs.

Development of wearable device for real time non-contact hydration monitoring

A well-maintained hydration status is important for the well-being of human body. Significant deviation from the proper hydration state, either dehydration or hyper hydration, could lead to neurologic complications or even fatal results. Existing hydration measurement carried out in laboratory settings, such as blood and urine test, though accurate, require both expensive equipment and professional experiences. Some newly developed devices which measure saliva, sweat, or bio-impedance improved measurement flexibility but either with compromised accuracy or limited to specific activities.

Refocusing and All-In-Focus Images for Angle-Sensitive Pixel Camera

Currently, the camera in your smartphone can take 2D color pictures. We have developed a new type of camera that can also provide you with depth at each point, not just color. Having depth and where objects are relative to each other in the scene open the door to many different new possibilities, for example having your phone tracking and recognizing your gestures, measuring distances between objects in pictures, changing the lighting, or removing and replacing the background in your photos. Another possibility is refocusing pictures after they were taken, or removing blur.

Activity recognition using physical layer information from wireless communications infrastructure

Sensing technologies require the deployment and maintenance of complex and large infrastructures. This research proposal is focused on people’s activity recognition technologies though existing WiFi infrastructures. The information gathered by this technology can be applied to different industries like home automation, security, etc. In the future, this technology will powered applications in the home automation industry as the one described next. Mary comes home and leaves her cellphone on the couch. As the system recognizes her, no alarm is activated.

A Framework for Scheduling and Mapping of Image Signal Processing Pipeline on Heterogeneous Architectures Applied to Video Enhancement Algorithms

Video contents and applications become integrated in everyday life and demands for high-quality videos, such as 4K, are increasing. Even modern optical equipment introduces inevitable noises that may heavily mask video content. Environment conditions such as low light, results in more video quality degradation. Therefore, a video-enhancement technique is required to reconstruct the original non-noisy video, but such algorithms require extensive processing resources to reach a reasonable (real-time) performance and power consumption.

Wi-Fi Based Activity Recognition

Sensing technologies require the deployment and maintenance of complex and large infrastructures. This research proposal is focused on people’s activity recognition technologies though existing WiFi infrastructures. The information gathered by this technology can be applied to different industries like home automation, security, etc. In the future, this technology will powered applications in the home automation industry as the one described next. Mary comes home and leaves her cellphone on the couch. As the system recognizes her, no alarm is activated.

Color management for low light levels in OLED displays

The objective of the proposed research project is to develop a realistic color appearance model based on the human visual system’s functioning that addresses the issue of noise under low luminance levels. This will be incorporated into algorithms used in the color reproduction and retargeting algorithms of OLED displays. This model should give rise to reduced power consumption in OLED displays, while maintaining a high perceived quality of images. The project will also explore the effect of changing the white point to manage the circadian rhythm on OLED screens.

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