Massachusetts Institute of Technology
Responsive IoT : using biosignals to connect humans and smart devices
Abstract
dc:description.abstractThe growing Internet of Things (JoT) ecosystem being built today is already affecting a great many daily objects, which may share information about their state, location and sensed data among others. Today, humans communicate with IoT devices through visual, voice or tactile interfaces. More natural and organic interaction requires more sophisticated communication methods. This thesis explores seamless interfaces between human and IoT devices. In particular, I focus on using biological signals as the interface to directly connect with the smart surroundings. The work is partitioned in two parts. First, I present a wearable sensing system to estimate the thermal comfort level of the user by monitoring skin temperature, blood volume pressure and skin conductivity. This effort is a first step towards connecting room occupants and smart A/C devices, which can enable real-time adjustments of indoor conditions. In the second part of the thesis, brain signals are used as the interface to navigate in a Virtual Reality (VR) environment. We develop Sublime, a new concept of Steady-State Visually Evoked Potentials (SSVEP) based Brain-Computer Interface (BCI). In this technology, brain-computer communication is triggered by imperceptible visual stimuli integrated in the virtual scene and subliminal information is seamlessly conveyed to a computer. By monitoring the elicited SSVEPs, the system is able to identify the gaze target of the user, thus enabling a hands-free menu navigation tool.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Mechanical Engineering.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Armengol Urpi, Alexandre
- Advisor dc:contributor.advisor
-
- Sanjay E Sarma.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/118736
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/118736