Open AccessProceedings Article
Advanced pedometer for smartphone-based activity tracking
Michal Tomlein,Pavol Bielik,Peter Krátky,Stefan Mitrík,Michal Barla,Mária Bieliková +5 more
- pp 401-404
TLDR
The design of an advanced smartphone pedometer developed as part of a larger solution aimed at encouraging a healthier lifestyle through regular physical activity, called Move2Play, which uses a neural network to detect and prevent cheating.Abstract:
This paper describes the design of an advanced smartphone pedometer developed as part of a larger solution aimed at encouraging a healthier lifestyle through regular physical activity, called Move2Play. Move2Play provides several motivational methods to promote exercise, some of which are based on the use of points derived from tracked activity. While current pedometers are easily tricked into counting steps by shaking the device, our advanced pedometer uses a neural network to detect and prevent this kind of cheating. In this paper, we discuss both the method for counting steps and our innovative approach to the recognition of cheating.read more
Citations
More filters
Proceedings ArticleDOI
Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors
Nabil Alshurafa,Jo-Ann Eastwood,Mohammad Pourhomayoun,Suneil Nyamathi,Lily Bao,Bobak J. Mortazavi,Majid Sarrafzadeh +6 more
TL;DR: Insight is provided into the randomness of cheating activities, successfully detects cheaters, and attempts to build more context-aware remote activity monitors that more accurately capture patient activity are built.
Proceedings ArticleDOI
Motion capture and activity tracking using smartphone-driven body sensor networks
TL;DR: A framework that networks smartphone devices to produce body sensor networks for motion capture and activity tracking application areas and explores solutions for sensor fusion, data synchronization, data streaming and remote control functionality in smartphones is introduced.
Proceedings ArticleDOI
Step counting on smartphones using advanced zero-crossing and linear regression
TL;DR: Not only a high accuracy of estimation is recorded for both settings, the battery consumption is also shown to be very low, which proves the feasibility of employing the algorithm for step counting on smartphones for longer durations.
Journal Article
Ambient health monitoring: the smartphone as a body sensor network component
TL;DR: The proposed solution is a smartphone application that gathers, processes and filters sensor data for the purpose of tracking physical activity, achieved by Skeletrix, a framework for gathering and organizing motion data in online repositories that are conveniently accessible to researchers, healthcare professionals and medical care workers.
Journal ArticleDOI
Making Activity Recognition Robust against Deceptive Behavior
TL;DR: This study uses a novel method to make activity recognition robust against deceptive behavior by including deceptive activity data from a few individuals, and concludes that learning the deceptive behavior of one individual helps to detect the deception behavior of others.
References
More filters
Journal ArticleDOI
The importance of walking to public health.
I-Min Lee,David M. Buchner +1 more
TL;DR: Walking has the potential to have a large public health impact due to its accessibility, its documented health benefits, and the fact that effective programs to promote walking already exist.
Journal ArticleDOI
Walking 10,000 steps/day or more reduces blood pressure and sympathetic nerve activity in mild essential hypertension.
Masataka Iwane,Mikio Arita,Shigehiro Tomimoto,Osamu Satani,Masanobu Matsumoto,Kazuhisa Miyashita,Ichiro Nishio +6 more
TL;DR: It is indicated that walking 10,000 steps/days or more, irrespective of exercise intensity or duration, is effective in lowering blood pressure, increasing exercise capacity, and reducing sympathetic nerve activity in hypertensive patients.
Journal ArticleDOI
NEAT-o-Games: blending physical activity and fun in the daily routine
Yuichi Fujiki,Konstantinos Kazakos,Colin A. Puri,Pradeep Buddharaju,Ioannis Pavlidis,James A. Levine +5 more
TL;DR: Research that aims to encourage physical activity through a novel pervasive gaming paradigm that may act as a strong behavioral modifier and increase everyday physical activity other than volitional sporting exercise is described.
Proceedings ArticleDOI
A performance comparison of accelerometry-based step detection algorithms on a large, non-laboratory sample of healthy and mobility-impaired persons
Michael Marschollek,Mehmet Goevercin,Klaus-Hendrik Wolf,Bianying Song,Matthias Gietzelt,Reinhold Haux,Elisabeth Steinhagen-Thiessen +6 more
TL;DR: All four algorithms show a fairly poor performance on healthy subjects' data and especially geriatric patients' data, and more research is needed to evaluate the accuracy of step detection methods on mobility-impaired subjects.
Proceedings ArticleDOI
Move2Play: an innovative approach to encouraging people to be more physically active
TL;DR: This work has created a solution called Move2Play, which encourages a healthier lifestyle and motivates to participate in regular physical activity, and has integrated four essential parts that form the basis for long-term progress and sustainability.