Heart rate variability: indicator of user state as an aid to human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Physiological measures of presence in stressful virtual environments
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of HCI International (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Ergonomics and User Interfaces-Volume I - Volume I
Communicating emotions in online chat using physiological sensors and animated text
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Using mental load for managing interruptions in physiologically attentive user interfaces
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Using a low-cost electroencephalograph for task classification in HCI research
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Proceedings of the ACM symposium on Virtual reality software and technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Drowsy driving detection based on human pulse wave by photoplethysmography signal processing
Proceedings of the 3rd International Universal Communication Symposium
Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Detecting stress during real-world driving tasks using physiological sensors
IEEE Transactions on Intelligent Transportation Systems
Cardiovascular Monitoring Using Earphones and a Mobile Device
IEEE Pervasive Computing
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Capturing the user's vital signs is an urgent goal in the HCI community. Photo-plethysmography (PPG) is one approach; it can collect data from the finger tips that indicate the user's autonomic nervous system (ANS) and offers new potentials such as mental stress measurement and drowsy state detection. Our goal is to set PPG sensors on the surfaces of ordinary devices such as mice, smartphones, and steering wheels. This will offer smart monitoring without the burden of additional wearable sensors. Unfortunately, current PPG sensors are very narrow, and even if the sensor is attached to the surface of a device, the user is forced to align and hold the finger to the sensor point, which degrades device usability. To solve this problem, we propose an area-based sensing method that relaxes the alignment requirement. The proposed method uses two thin acrylic plates, a diffuser plate and a detection plate, as an IR waveguide. The proposed method can yield very thin sensing surfaces and gentle curvatures are possible. An experiment compares the proposed method to the conventional point-sensor in terms of LF/HF discrimination performance with the participant in the resting state, and the proposed method is shown to offer comparable sensing performance with superior usability.