Sensors in mHealth Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 2497
Special Issue Editors
Interests: API design; Web APIs; cloud services; healthcare services; mobile data collection; medical information systems; medical informatics; process management; information systems
Special Issues, Collections and Topics in MDPI journals
Interests: medical informatics; mobile crowdsensing; mHealth; health services research; expert systems; medical data science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Current research in the field of mHealth applications heavily relies on (intelligent) sensors that are used to capture additional information from participants. For example, smart mobile applications (“apps”) connect with external devices (i.e., blood sugar measurement devices) to collect measurements, communicate with so-called “wearables”, or detect emotions or moods via video camera. Such intelligent sensors enable a plethora of novel application scenarios that may be particularly interesting in the context of medical applications or applications to educate and train participants.
This Special Issue aims to collect top-quality research focusing on novel approaches or emerging trends in the field of sensors in mHealth applications.
The key topics of interest include, but are not limited to, the following:
- mHealth applications;
- eHealth applications;
- mobile sensing;
- mobile data collection using sensors;
- IoT in healthcare;
- wearables;
- activity recognition;
- robotics (in medicine or care);
- emotion/mood detection using camera systems;
- ambient assisted living;
- AR and VR in healthcare applications (i.e., education).
Prof. Dr. Johannes Schobel
Prof. Dr. Rüdiger Pryss
Guest Editors
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Keywords
- mHealth applications
- eHealth applications
- mobile sensing
- mobile data collection using sensors
- IoT in healthcare
- wearables
- activity recognition
- robotics (in medicine or care)
- emotion/mood detection using camera systems
- ambient assisted living
- AR and VR in healthcare applications (i.e., education)
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