A Minimal Social Weight Wearable Device for Thermal Regulation

  • Javier Benedicto Serrano
  • Sudhsnahu Kumar SemwalEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1129)


Temperature changes can be severe during mountain-trekking based on the sun location and trail path. The task of keeping the body warm and comfortable to avoid hypothermia can be mitigated by a wearable device which records real-time data and analyzes it. In this paper, we propose a wearable device for body temperature regulation called warmUp which has minimal social weight. This device can predict, trained on the previously collected users’ data, whether or not it is cold for that person. The wearable device is compact and can be hidden inside a vest. A simple binary classifier indicated that the user is getting cold by using present temporal temperature variations. We train the neural network by first collecting the data using the input sensors hidden inside the vest and asking the user to classify the data. Future applications of our device are: automatically warming the vest which the user is wearing; fire fighting applications, and wilderness survival.


Wearable computing Outdoor applications HCI 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Javier Benedicto Serrano
    • 1
  • Sudhsnahu Kumar Semwal
    • 1
    Email author
  1. 1.Department of Computer ScienceUniversity of ColoradoColorado SpringsUSA

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