Name
Title | ||
|---|---|---|
Sensor Data Processing Method Based on Observed Person's Similarity for Motion Estimation |
Abstract | ||
|---|---|---|
Some systems use machine learning techniques such as support vector machines to estimate human motions using acceleration sensors. These systems must acquire acceleration data to build a model. Therefore, it is difficult to estimate a newly observed person's motions promptly. Moreover, a newly observed person must carry out sufficiently diverse and numerous motions to build a model. These are heavy burdens that must be borne to observe people. As described in this paper, we propose a method for sensor data processing using similarity in feature of motions between observed persons. This method is designed to achieve a balance between providing motion estimation for a newly observed person promptly and for maintaining precision of motion estimation. In this method, the system can estimate a newly observed person's motions initially because the system uses a similar observed persons' standard. We implement a prototype system to evaluate this method. The system estimates human motions using the acceleration sensor. We perform some initial experiments using this prototype system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WAINA.2013.236 | Advanced Information Networking and Applications Workshops |
Keywords | Field | DocType |
human motion,numerous motion,observed person,motion estimation,prototype system,similar observed person,sensor data processing method,heavy burden,sensor data,acceleration sensor,acceleration data,support vector machines,learning artificial intelligence,machine learning,data acquisition,prototypes,acceleration,data processing,feature extraction,support vector machine | Computer vision,Data processing,Computer science,Support vector machine,Data acquisition,Feature extraction,Acceleration,Artificial intelligence,Motion estimation | Conference |
ISBN | Citations | PageRank |
978-0-7695-4952-1 | 1 | 0.35 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shintaro Imai | 1 | 12 | 3.75 |
| Mariko Miyamoto | 2 | 4 | 1.14 |
| Yoshikazu Arai | 3 | 51 | 18.63 |
| Toshimitsu Inomata | 4 | 4 | 1.81 |