This chapter briefly discusses the anticipated future challenges within the field of monitoring older adults and provides a number of future research directions. Some of the most notable challenges are lack of publically available datasets, poor measurement accuracy of sensors, user-centered design barriers, and user acceptability for monitoring. We try to draw attention to the importance of acquiring objective information of older patients’ health conditions by applying appropriate sensor technology for automated monitoring, which we covered in the previous chapters of this book. As possible future research directions, we draw attention to the necessary research in the fields of sensor fusion and machine learning for detecting various health-threatening events and conditions in older population.

Original languageEnglish
Title of host publicationDistributed Computing and Monitoring Technologies for Older Patients
Number of pages5
PublisherSpringer VS
Publication date1 Jan 2016
ISBN (Print)978-3-319-27023-4
ISBN (Electronic)978-3-319-27024-1
Publication statusPublished - 1 Jan 2016
SeriesSpringerBriefs in Computer Science


  • Acceptability
  • Accuracy
  • Datasets
  • Future challenges
  • Research directions
  • Sampling limitations
  • Taxonomy
  • Time delays
  • User-centered design


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