Review reveals key engineering and interface integration frameworks for smart home eldercare, suggesting collaborative textile sensing and differentiated mobile feedback improve user adaptation.
With the in-depth promotion of the home-based elderly care model, the aging-adaptive design of human-computer interaction systems for smart homes has become an interdisciplinary frontier in engineering and design. However, embedded sensing technology for household textiles and aging-adaptive mobile interface design have long been advanced separately by different disciplinary communities, lacking an integrated perspective. Based on the collaborative design framework of “input interface + feedback interface”, this paper systematically sorts out the sensing mechanisms and aging-adaptive advantages of three types of household textile interfaces, including bedding, sofas & seating, and wearable textiles. It analyzes the integration and anomaly recognition processing paths of multi-source data from textile terminals in smart home systems, summarizes the laws of aging-adaptive mobile feedback design for elderly users and family caregivers, and reviews the methodological evolution of aging-adaptive human-computer interaction research. The review shows that: bedding textile interfaces have formed relatively mature engineering implementation approaches in sleep monitoring and vital sign collection, but low-amplitude signal noise suppression and body motion artifact separation remain the core bottlenecks restricting their popularization; sofa and seating interfaces exhibit significant potential in standing posture recognition and fall warning, and the problem of multi-sensor crosstalk urgently needs to be solved with individualized calibration mechanisms; wearable textile interfaces present outstanding all-weather sensing advantages, while washing durability and flexible connection reliability constitute the main engineering obstacles to long-term deployment. At the mobile feedback layer, semantic presentation for elderly users and multi-dimensional trend analysis for caregivers should be defined in a differentiated and collaborative manner at the system architecture stage, instead of sharing a single data view. These findings reveal that the collaborative design framework of textile-terminal sensing and mobile-terminal feedback is the key path to promote home-based elderly care systems from functional realization to in-depth user adaptation, and provide a theoretical reference for subsequent systematic design research and engineering practice.
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Chen et al. (2026) studied this question.
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