Name
Abstract | ||
|---|---|---|
Foot interfaces, such as pressure-sensitive insoles, still yield unused potential such as for implicit interaction. In this paper, we introduce CapSoles, enabling smart insoles to implicitly identify who is walking on what kind of floor. Our insole prototype relies on capacitive sensing and is able to sense plantar pressure distribution underneath the foot, plus a capacitive ground coupling effect. By using machine-learning algorithms, we evaluated the identification of 13 users, while walking, with a confidence of similar to 95% after a recognition delay of similar to 1s. Once the user's gait is known, again we can discover irregularities in gait plus a varying ground coupling. While both effects in combination are usually unique for several ground surfaces, we demonstrate to distinguish six kinds of floors, which are sand, lawn, paving stone, carpet, linoleum, and tartan with an average accuracy of similar to 82%. Moreover, we demonstrate the unique effects of wet and electrostatically charged surfaces. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3098279.3098545 | PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI '17) |
Keywords | Field | DocType |
Foot Interaction, Ground Surface Detection, Floor Detection, User Identification, Implicit Input, Smart Insole, Shoe Interface, Wearable Computing, Capacitive Sensing, Data Mining, Machine Learning | Plantar pressure,Coupling,Gait,Coupling effect,Computer science,Wearable computer,Simulation,Capacitive sensing | Conference |
Citations | PageRank | References |
5 | 0.57 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denys J. C. Matthies | 1 | 75 | 14.60 |
| Thijs Roumen | 2 | 111 | 10.99 |
| Arjan Kuijper | 3 | 1063 | 133.22 |
| Bodo Urban | 4 | 176 | 23.00 |