净礼
发表于 2025-3-25 07:05:09
https://doi.org/10.1007/978-3-658-31322-7r entities via tri-axial sensor technology. We describe the main challenges of wave propagation in solids, namely dispersion and multipath propagation and discuss their implications on robustness and accuracy of localization results. To conclude our work we introduce potential application scenarios.
协议
发表于 2025-3-25 08:34:01
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Verify
发表于 2025-3-25 12:32:31
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correspondent
发表于 2025-3-25 15:58:35
Functional Assessment in Elderlies’ Homes: Early Results from a Field Trials required since most clinical assessment tests are not suitable for execution in domestic environments and thus new approaches are required which do also account for the difference between performance and capacity in functional abilities as proposed within WHO’s ICF.
CERE
发表于 2025-3-25 21:58:44
LsW: Networked Home Automation in Living Environmentsdevices like tablets as human machine interfaces for AAL systems, the integration of existing home automation technologies in existing buildings, the connection between the tablet and the home automation components, and the interoperation between several flats.
Myosin
发表于 2025-3-26 00:43:48
Vibroacoustic Monitoring: Techniques for Human Gait Analysis in Smart Homesr entities via tri-axial sensor technology. We describe the main challenges of wave propagation in solids, namely dispersion and multipath propagation and discuss their implications on robustness and accuracy of localization results. To conclude our work we introduce potential application scenarios.
裁决
发表于 2025-3-26 05:02:24
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Robust
发表于 2025-3-26 09:03:19
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Alienated
发表于 2025-3-26 16:36:49
https://doi.org/10.1007/978-3-662-02208-5the face analysis. We motivate the selection of the features and examine their discriminative power and robustness for the automated recognition of therapeutic facial expressions in a real-world application.
消极词汇
发表于 2025-3-26 17:57:06
Facial Movement Dysfunctions: Conceptual Design of a Therapy-Accompanying Training Systemthe face analysis. We motivate the selection of the features and examine their discriminative power and robustness for the automated recognition of therapeutic facial expressions in a real-world application.