Affective wearables

@article{Picard1997AffectiveW,
  title={Affective wearables},
  author={Rosalind W. Picard and Jennifer Healey},
  journal={Personal Technologies},
  year={1997},
  volume={1},
  pages={231-240}
}
An ‘affective wearable’ is a wearable system equipped with sensors and tools which enables recognition of its wearer's affective patterns. Affective patterns include expressions of emotion such as a joyful smile, an angry gesture, a strained voice or a change in autonomic nervous system activity such as accelerated heart rate or increasing skin conductivity. This paper describes new applications of affective wearables, and presents a prototype which gathers physiological signals and their… 
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Wearable Sensor Badge & Sensor Jacket for Context Awareness
TLDR
A wearable sensor badge is described constructed from (hard) electronic components, which can sense perambulatory activities for context-awareness, and a wearable sensor jacket is described that uses advanced knitting techniques to form (soft) fabric stretch sensors positioned to measure upper limb and body movement.
Information display of wearable devices through sound feedback of wearable computing
TLDR
Sounds were used for relaying information feedback of the status of wearable devices and the usefulness of adding sound feedback was verified and the effect of each device-specific sound was confirmed as a sound feedback.
Physiological User Interfaces
TLDR
An overview of some research projects that demonstrate how physiological signals including GSR, EMG, EKG and respiration can be used as an alternative user interface, especially in new areas of computing such as mobile and ubiquitous control of consumer appliances.
Physiological signals and their use in augmenting emotion recognition for human-machine interaction
In this chapter we introduce the concept of using physiological signals as an indicator of emotional state. We review the ambulatory techniques for physiological measurement of the autonomic and
Coverage of Emotion Recognition for Common Wearable Biosensors
TLDR
The work forms the basis of validating the hypothesis for emotional state recognition in the literature and presents coverage of the use of common wearable biosensors coupled with a novel preprocessing algorithm to demonstrate the practical prediction of the emotional states of wearers.
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