Recently there has been a growing interest in consumerization of wrist-worn devices especially smart watches and wrist bands. Many large corporations such as Samsung and Apple already have a commodity smart watch and many other companies such as FitBit, Nike, Jawbone have wristbands geared towards fitness tracking. Smart-watches and bands are equipped with many sensors, (for example, latest Samsung Gear devices have heart rate, accelerometer, gyroscope, infrared sensors etc.) a processor, communication radios (for example, Bluetooth or Wi-Fi) and a small size display. It is, therefore, possible to capture information about the device user, perform computation and communication using these devices to infer various activities/contexts of the user. Further, they also represent a perfect platform to conduct research on human activity, behavior, and related areas, given the capabilities described above. Moreover, compared to smartphones, wrist-worn smart devices provide richer information about certain user activities (e.g., eating, typing, and sleeping). In most cases, a smart-watch is also connected to a powerful smartphone, which could help in drawing many interesting inferences by combining data from both these devices.
Design, implementation, and evaluation of systems using wrist based smart devices.
Design and implementation of pervasive applications for wrist-worn smart devices and/or smartphones.
Description of experiences in data collection and deployments using wrist-worn devices and/or smartphones.
Feedback, notifications, and alerts using wrist-worn smart devices.
User behavior analysis on data collected from wrist device and/or smartphones.
User activity and context recognition using wrist-worn smart devices.
Achieving energy efficiency and extending battery life of wearable devices.
Efficient communication between wearable devices and smartphones.
Privacy aspects related to data collection from wearable wrist-worn devices.
03月13日
2017
03月17日
2017
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