Skip to main content

Wearable Device Data for Criminal Investigation

  • Conference paper
  • First Online:
Book cover Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11342))

Abstract

Wearable devices collect and share data through social networks accessed by a smartphone. We can therefore view the smartphone carried by a criminal suspect as a central repository of information that may be useful in a criminal investigation. But it is not clear how this information can be used to deduce conclusive, legally admissible evidence. The challenges here are not only technological, but practical. In this paper, we discuss the challenges faced when we try to abstract criminal data from wearable devices. We also present a case study involving a wearable fitness tracker. In particular, we try to determine if a phone synced with a fitness tracker can provide evidence related to the execution of a violent act. While the approach presented here opens up a new area for investigators to look for evidence, our results suggest that it can actually be difficult to obtain concrete digital evidence in this manner.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Adams, P.S., Keyserling, W.M.: Three methods for measuring range of motion while wearing protective clothing: a comparative study. Int. J. Ind. Ergon. 12(3), 177–191 (1993)

    Article  Google Scholar 

  2. De Pessemier, T., Martens, L.: Heart rate monitoring, activity recognition, and recommendation for e-coaching. Multimed. Tools Appl. 77(18), 23317–23334 (2018)

    Article  Google Scholar 

  3. Jo, E., Lewis, K., Directo, D., Kim, M.J., Dolezal, B.A.: Validation of biofeedback wearables for photoplethysmographic heart rate tracking. J. Sports Sci. Med. 15(3), 540–547 (2016)

    Google Scholar 

  4. Kanitthika, K., Soochan, K., Kaewkannate, K., Kim, S.: A comparison of wearable fitness devices. BMC Public Health 16, 1–16 (2016)

    Google Scholar 

  5. Loeffler, C.E.: Detecting gunshots using wearable accelerometers. PLoS One 9(9), 1–6 (2014)

    Article  Google Scholar 

  6. Sasaki, J.E., et al.: Validation of the Fitbit wireless activity tracker for prediction of energy expenditure. J. Phys. Act Health 12(2), 149–154 (2015)

    Article  MathSciNet  Google Scholar 

  7. Shcherbina, A., et al.: Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort. J. Pers. Med. 7(2), 3 (2017)

    Article  Google Scholar 

  8. Sushames, A., Edwards, A., Thompson, F., McDermott, R., Gebel, K.: Validity and reliability of fitbit flex for step count, moderate to vigorous physical activity and activity energy expenditure. PLoS One 11(9), 1–14 (2016)

    Article  Google Scholar 

  9. Thiebaud, R.S., et al.: Validity of wrist-worn consumer products to measure heart rate and energy expenditure. Digit. Health 4 2018

    Article  Google Scholar 

  10. Wallen, M.P., Gomersall, S.R., Keating, S.E., Wisloff, U., Coombes, J.S.: Accuracy of heart rate watches: implications for weight management. PLoS One 11(5), 1–11 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aaron Hunter .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mcnary, S., Hunter, A. (2018). Wearable Device Data for Criminal Investigation. In: Wang, G., Chen, J., Yang, L. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2018. Lecture Notes in Computer Science(), vol 11342. Springer, Cham. https://doi.org/10.1007/978-3-030-05345-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05345-1_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05344-4

  • Online ISBN: 978-3-030-05345-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics