UTFacultiesEEMCSDisciplines & departmentsPSEducationAssignment:WiFi vs. Sensors: Face-off between physical sensors and wireless signals in human activity recognition

Assignment:WiFi vs. Sensors: Face-off between physical sensors and wireless signals in human activity recognition

WiFi vs. Sensors: Face-off between physical sensors and wireless signals in human activity recognition


  Problem Statement:

These days, it is hard to find people not familiar with wristbands or mobile phones. These are capable of numerous things, such as monitoring individual limb movements, posture recognition, and heart rate monitoring. However, these need to be carried or worn by an individual. This is not always feasible: people may not be familiar with the use or may forget to wear them, or it is not feasible to wear them due to other reasons. Therefore, sensors are more frequently replaced with device-free solutions. This assignment is an investigation in which sensors can be replaced with device-free sensing (in this case, WiFi).

Task:

You will be given state-of-the-art devices to collect wireless traces (known as channel state information [1]) and access to a sensor-enabled chair to collect data from both and compare the accuracies to help answer the ultimate question: Can wireless signals beat physical sensors for human activity recognition? You will have freedom in deciding which activities (recommended is those close to a chair) and what tools to use for analysis (recommended is deep learning). This is a great assignment if you want to do a lot of human-centric research and get familiar with new sensing techniques.
[1] Jeroen Klein Brinke and Nirvana Meratnia. 2019. Dataset: Channel state information for different activities, participants and days. In Proceedings of the 2nd Workshop on Data Acquisition To Analysis (DATA'19). Association for Computing Machinery, New York, NY, USA, 61–64. DOI:https://doi.org/10.1145/3359427.3361913

Work:

40% Data gathering, 40% Data analysis, 20% Writing

Contact:

Jeroen Klein Brinke (j.kleinbrinke@utwente.nl)
Allow multiple students: YES