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- ArticleJuly 2024
EEG Measurement Site Suitable for SSVEP-BCI Assuming Aphasia
Computers Helping People with Special NeedsJul 2024, Pages 232–240https://doi.org/10.1007/978-3-031-62849-8_29AbstractBrain-computer interface (BCI) connects the brain and computer. Support for people with disabilities is a frequent topic in studies on steady-state visual evoked potential (SSVEP)-BCI. This study aimed to adapt SSVEP-BCI for individuals with ...
- articleJuly 2024
Towards interactive reinforcement learning with intrinsic feedback
AbstractReinforcement learning (RL) and brain–computer interfaces (BCI) have experienced significant growth over the past decade. With rising interest in human-in-the-loop (HITL), incorporating human input with RL algorithms has given rise to the sub-...
Highlights- Tutorial-style review of intrinsic feedback and its foundational concepts.
- Intrinsic feedback captured via BCI can be interpreted as a new feedback medium.
- Intrinsic interactive RL approaches are nascent and require further ...
- short-paperApril 2024
Automated Alphabet Detection from Brain Waves
ACMSE '24: Proceedings of the 2024 ACM Southeast ConferenceApril 2024, Pages 247–252https://doi.org/10.1145/3603287.3651214Brain-computer interfaces (BCIs) offer a novel method of converting brain activity into valuable data. This study investigates the use of electroencephalogram (EEG) signals for recognizing brainwave signals to record human thoughts. Our research focuses ...
- short-paperMarch 2024
BCI Exploration of User Responses to Vulnerable and Expressive Robot Behaviors
HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot InteractionMarch 2024, Pages 925–929https://doi.org/10.1145/3610978.3640574The manufacturing sector serves as a hub for human-robot interaction (HRI), employing robots for diverse tasks. Collaborative robots, working alongside humans in shared workspaces, aim to enhance workplace efficiency. However, this close proximity can ...
- short-paperMarch 2024
A Robot-Administered ICU Confusion Assessment with Brain-Computer Interface Control
HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot InteractionMarch 2024, Pages 583–587https://doi.org/10.1145/3610978.3640554Evaluation of patient delirium in hospital Intensive Care Units (ICU) is a crucial and challenging task, with conventional assessments like CAM-ICU relying largely on verbal and physical communication, making it difficult for patients with limited ...
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- research-articleFebruary 2024
Neuron-Aware Brain-to-Computer Communication for Wireless Intracortical BCI
HOTMOBILE '24: Proceedings of the 25th International Workshop on Mobile Computing Systems and ApplicationsFebruary 2024, Pages 107–113https://doi.org/10.1145/3638550.3641141Intracortical brain-computer interfaces (iBCIs) promise revolutionary clinical and research applications. State-of-the-art iBCIs rely on high-density (HD) microelectrode arrays (MEAs) to sense massive neuronal populations. However, HD MEAs are bandwidth-...
- short-paperJanuary 2024
Enhancing Motor Imagery based Brain Computer Interfaces for Stroke Rehabilitation
CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)January 2024, Pages 439–443https://doi.org/10.1145/3632410.3632441Globally, the prevalence of disabilities among stroke survivors exceeds 80%, with upper-limb movement impairments affecting over 85% of individuals. To address this challenge, motor imagery (MI) based brain-computer interface (BCI) has emerged as a ...
- research-articleMarch 2024
Brain computer interface with EEG signals to improve feedback system in higher education based on augmentative and alternative communication
International Journal of Information and Communication Technology (IJICT), Volume 24, Issue 22024, Pages 128–144https://doi.org/10.1504/ijict.2024.137203A predictive brain-computer interface is a way to monitor EEG signals in humans currently under the experiment to understand the capability and get proper feedback about the digital education systems. The use of dynamically processed and collected data ...
- research-articleNovember 2023
Brain-Hack: Remotely Injecting False Brain-Waves with RF to Take Control of a Brain-Computer Interface
CPSIoTSec '23: Proceedings of the 5th Workshop on CPS&IoT Security and PrivacyNovember 2023, Pages 53–66https://doi.org/10.1145/3605758.3623497The promise of Brain-Computer Interfaces (BCIs) is counterbalanced by concerns about vulnerabilities. Recent studies have revealed that EEG-based BCIs are susceptible to security breaches. However, current attack approaches are challenging to execute in ...
- keynoteOctober 2023
Multisensory Immersive Experiences: From Monitoring of Human Influential Factors to New Applications in Healthcare
IXR '23: Proceedings of the 2nd International Workshop on Interactive eXtended RealityOctober 2023, Page 37https://doi.org/10.1145/3607546.3616808While virtual and extended reality applications are on the rise, existing experiences are not fully immersive, as only two senses (audio-visual) are typically stimulated. In this keynote talk, I will describe our ongoing work on developing multisensory ...
- research-articleOctober 2023
Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition
MM '23: Proceedings of the 31st ACM International Conference on MultimediaOctober 2023, Pages 5985–5993https://doi.org/10.1145/3581783.3612074Multimodal emotion recognition based on electroencephalogram (EEG) and compensating physiological signals (e.g., eye tracking) has shown potential in the diagnosis and rehabilitation tracking of depression. Since the multi-channel EEG signals are ...
- research-articleOctober 2023
Overcoming Theory: Designing Brainwave Authentication for the Real World
EuroUSEC '23: Proceedings of the 2023 European Symposium on Usable SecurityOctober 2023, Pages 175–191https://doi.org/10.1145/3617072.3617120Recent advancements in consumer-grade Brain-Computer Interfaces (BCIs) have opened up new possibilities for the exploration and deployment of brainwave-based user authentication. However, research on real-world usability and security is still lacking. ...
- research-articleSeptember 2023
The application of hybrid feature based on local mean decomposition for motor imagery electroencephalogram signal classification
Asian Journal of Control (ASJC), Volume 25, Issue 5September 2023, Pages 3305–3317https://doi.org/10.1002/asjc.3089AbstractThis paper proposed a hybrid feature extraction algorithm based on local mean decomposition (LMD), which has better solved the existing problems of low classification performance and adaptability limitation. LMD is employed to decompose the ...
- ArticleJuly 2023
Brain State-Triggered Stimulus Delivery Helps to Optimize Reaction Time
AbstractIn the present study, a fast and adaptive technique for the presentation of stimuli based on ongoing brain rhythm is described. Sensorimotor cortical mu rhythm (divided by two components: alpha (mu) and beta) was used as target for assessment of ...
- research-articleJuly 2023
BIO‐inspired fuzzy inference system—For physiological signal analysis
IET Cyber-Systems and Robotics (CSY2), Volume 5, Issue 3September 2023https://doi.org/10.1049/csy2.12093AbstractWhen a person's neuromuscular system is affected by an injury or disease, Activities‐for‐Daily‐Living (ADL), such as gripping, turning, and walking, are impaired. Electroencephalography (EEG) and Electromyography (EMG) are physiological signals ...
- extended-abstractJune 2023
Hyperdream : Exploring Hypnagogia Organicity
C&C '23: Proceedings of the 15th Conference on Creativity and CognitionJune 2023, Pages 243–245https://doi.org/10.1145/3591196.3593506The artwork Hyperdream explores the concept of organicity through the architectural dimension of dreams. A person enters a hypnagogia-like state with the help of a dream machine. We generate hypnagogic landscapes from their recorded brainwaves and ...
- research-articleJune 2023
Brainwave-based authentication using features fusion
Computers and Security (CSEC), Volume 129, Issue CJun 2023https://doi.org/10.1016/j.cose.2023.103198AbstractThis article investigates the use of human brainwaves for user authentication. We used data collected from 50 volunteers and leveraged the Support Vector Machine (SVM) as a classification algorithm for the case study. User recognition patterns ...
- research-articleApril 2023
Dozer: Towards understanding the design of closed-loop wearables for sleep
- Nathan Arthur Semertzidis,
- Annaelle Li Pin Hiung,
- Michaela Jayne Vranic-Peters,
- Florian ‘Floyd’ Mueller
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 195, Pages 1–14https://doi.org/10.1145/3544548.3581044Sleep plays a paramount role in maintaining healthy bodily functioning. Yet, poor sleep is an increasingly prevalent global health concern. Most current sleep technology tracks sleep, but how to design for promoting sleep is relatively underexplored. We ...
- abstractFebruary 2023
Strange Loops : Augmenting Feelings
TEI '23: Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied InteractionFebruary 2023, Article No.: 63, Pages 1–3https://doi.org/10.1145/3569009.3576190Strange Loops is a Brain-Computer Interface (BCI) that turns emotional states into colourful lights. Inspired by electric fields from the brain amplified by EEG, the mask reveals and augments the feelings of the wearer. By externalising the inner world, ...