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While traditional earphones primarily offer private audio spaces, so-called "earables" emerged to offer a variety of sensing capabilities. Pioneering platforms like OpenEarable have introduced novel sensing platforms targeted at the ears, incorporating ...

Fatigue is a multifaceted construct, that represents an important part of human experience. The two main aspects of fatigue are the mental one and the physical one, that often intertwine, intensifying their collective impact on daily life and overall ...

Effective analysis of skills requires high-quality, multi-modal datasets, especially in the field of artificial intelligence. However, creating such datasets for extreme sports, such as alpine skiing, can be challenging due to environmental constraints. ...

Electromyography (EMG) has been explored as an HCI input modality following a long history of success for prosthesis control. While EMG has the potential to address a range of hands-free interaction needs, it has yet to be widely accepted outside of ...

As the capacity for machines to extend human capabilities continues to grow, the communication channels used must also expand. Allowing machines to interpret nonverbal commands such as gestures can help make interactions more similar to interactions ...

We conduct a two-part study to better understand pen grip postures for general input like mode switching and com-mand invocation. The first part of the study asks participants what variations of their normal pen grip posture they might use, without any ...

Can natural interaction requirements be fulfilled while still harnessing the "supernatural" fantasy of Virtual Reality (VR)? In this work we used off the shelf Electromyogram (EMG) sensors as an input device which can afford natural gestures to preform ...

In this paper, we present a wearable kinesthetic I/O device, which is able to measure and intervene in multiple muscle activities simultaneously through the same electrodes. The developed system includes an I/O module, capable of measuring the ...

Serious games can improve the physical rehabilitation of patients with different conditions. By monitoring exercises and offering feedback, serious games promote the correct execution of exercises outside the clinic. Nevertheless, existing serious games ...

This project looks at using the Myo armband and machine learning techniques to detect irregularities when performing a vocational assembly task. A Lego car assembly task is performed while Myo data are collected, which include accelerometer, gyroscope, ...

'Kontraktion' is an embodied musical interface using biosignals to create an immersive sonic performance setup. It explores the energetic coupling between digital synthesis and musical expression by reducing the interface to an embodied instrument and ...

We have designed an augmented reality (AR) game for children with cerebral palsy (CP) to perform home-based neurorehabilitation. A Myo armband detects electromyographic (EMG) signals and accelerometer data from the arm, and a trained classifier ...

Communication and collaboration between deaf people and hearing people is hindered by lack of a common language. Although there has been a lot of research in this domain, there is room for work towards a system that is ubiquitous, non-invasive, works in ...

We present a new technique to detect and relieve drivers’ fatigue by using electromyography (EMG) and electrical muscle stimulation (EMS) respectively, while drivers are driving without any interruption. Driving fatigue was detected by EMG from the ...

In this paper we present our results on using electromyographic (EMG) sensor arrays for finger gesture recognition. Sensing muscle activity allows to capture finger motion without placing sensors directly at the hand or fingers and thus may be used to ...

This paper presents the BioSleeve, a new gesture-based human interface for natural robot control. Detailed activity of the user's hand and arm is acquired via surface electromyography sensors and an inertial measurement unit that are embedded in a ...

Musculoskeletal disorders are a globally significant health problem affecting millions. Physiotherapy, including prescribed exercises performed independently by patients in their homes, is a key treatment for many sufferers. However, many fail to ...

We explore the feasibility of muscle-computer interfaces (muCIs): an interaction methodology that directly senses and decodes human muscular activity rather than relying on physical device actuation or user actions that are externally visible or ...