Enhancing Value Co-Creation in Wenzhou's Elderly Care Networks:Mathematical Fusion Algorithms for Multi-Sensor Integration in Social Robotics

The study has two objectives: foremost, it is imperative to establish likely roles for social robots in facilitating collaboration and interaction among stakeholders such as the senior citizens, caregivers, health care professionals and traditional Chinese medicine (TCM) practitioners. Secondly, mathematical fusion algorithms discussion capable of integrating data from multiple sensors is meant to enhance perception capacity of social robots in select care settings while promoting value co-creation in existing networks for elderly care. In that regard, therefore, it is about exploring how quality care services can be improved through the use of social robots coupled with mathematical fusion algorithms; thus looking at effective communication processes as well as creating a collaborative environment among stakeholders involved. Meanwhile, applying social robotics together with multisensor integration within elder care networks located in Wenzhou city may have feasibility, effectiveness and potential benefits hence leading improved overall wellbeing satisfaction levels among its aging residents.


INTRODUCTION
Due to the increasing global aging population, it is necessary to discover creative ways of improving care for the elderly.The elderly care networks in Wenzhou specifically form the basis for this study with a view of enhancing co-creation value through social robotics and multi-sensor fusion algorithms integration.As such, due to the need for effective care delivery and the potential advantages of incorporating advanced technologies into geriatric care facilities, this research aims at solving the problem of efficient communication and collaboration among various stakeholders involved in Wenzhou's elderly care networks including aged people themselves, their attendants, medical doctors as well as traditional Chinese medicine (TCM) practitioners.The use of social robotics has been shown to improve quality life among old people and reduce workloads on their caregivers [1].However, despite these advancements little has been done within Wenzhou's elderly care framework regarding this full utilization.Similarly, social robotics have not found much application in other areas of multidimensional sensor integration such as mathematics fusion algorithms common in geriatric care circles.Meanwhile their perception can be increased by these algorithms, thus making them more effective in delivering services but building up such programs poses many problems which are addressed during creation and evaluation stage by this study.The project also seeks to contribute towards establishing a healthcare AI technology park in Wenzhou that would act as a catalyst for co-creating value within existing senior citizen network systems though feasibility, efficiency and usefulness of utilizing social robots alongside multisensory integration herein are yet to be established [2].The study sits at an interface between social robotics as well as multi-sensor integration with regard to older persons' health issues thus aiming at improving value creation possibilities among the elderly residing within Wenzhou City today; notably these two themes stem from increasing demand (Table 1) on current healthcare and aged facilities located in Wenzhou city China.

LITERATURE REVIEW
This section aims to review the existing literature and research on these topics as well as on value co-creation in elderly care networks.Social robotics, which is a new technology for addressing the problems that old age brings to bear upon healthcare givers,  [3].This paper examines various ways through which social robotics can facilitate interactions amongst stakeholders in eldercare networks such as aged people themselves, caregivers, doctors and TCM practitioners.Such machines help improve the quality of life for older adults while at the same time reducing the burden on their care givers [3].Also worth noting is that the integration of several sensors into these robot enhances their perception abilities thus enabling them to understand and react with their environments more effectively.However, there is little known about mathematical fusion algorithms for multisensor integration in social robotics within contexts such as elderly care [4].However, this area remains largely unexplored despite its potential benefits especially in terms of improving perception capabilities of social robots used at homes caring for aged persons [4].Nonetheless, it remains a challenging task to develop and assess such algorithms; therefore leveraging social robotics together with multisensor integration may create value particularly in Wenzhou elderly care networks.
There is still no confirmation of the practicability, efficiency and possible advantages of including social robotics and multisensor integration in Wenzhou's old-age support networks.This particularly necessitates mathematical fusion algorithms that can absorb data from several sensors into Wenzhou's healthcare environment.Therefore, it is necessary to involve them during technology design and implementation by taking into account their opinions as well as considering wider networks of care in order to have operational user-centered robots in health care [5].These features show how these robots can facilitate social interactions among others while providing companionship hence improving the quality of life for those who are aged [6].Likewise, the use of socially assistive robots (SARs) in actual medical environments can demonstrate different functions across hospitals, care centers, homes, and schools globally [7].On the other hand, reconfigurable smart cities which adjust themselves according to people's needs through multi sensors technology underscore the importance of data-driven solutions as well as looking at other smart cities worldwide [8], thus enhancing their physical welfare.
The high security of home care robots is due to the fact that there is an increasing demand for them; and they are compatible, modular and can be easily integrated into any household.For example, positive user feedback shows that this framework is effective in providing potential home-care scenarios [9].Additionally, by incorporating high power density, lightweight, low cost and clean power features; these robots increase adaptability and compliance to customer satisfaction levels [10].In relation to Wenzhou's elderly care networks, these studies emphasize the role of social robotics and multi-sensor integration in enhancing care delivery.Moreover, these studies also recommend further research especially in the development and evaluation of mathematical fusion algorithms for multi-sensor integration.This paper introduces an intelligent medical diagnosis system that combines traditional Chinese medicine (TCM) diagnostic system with western medicine diagnostic system as well as a medical record database in order to address these issues [11].This research will fill these gaps within the healthcare development objectives of Wenzhou City and value creation processes within existing elderly care networks.

MATHEMATICAL FUSION ALGORITHMS FOR MULTI-SENSOR INTEGRATION
To enhance social robots' perception capabilities, the integration of information from various sensors is crucial particularly in complicated environments such as geriatric care settings.This encompasses employing mathematical fusion algorithms that superimpose data originating from different sources thereby providing a more precise and holistic picture of the surrounding.The present formulas pointing out their contribution to growth in decision making skills among different robotic agents.One of the commonly used techniques for multi-sensor data fusion is weighted data fusion.It involves giving weights to different sensors' data based on their reliability or importance and then combining them together to form a single output.Weights may be assigned depending on many factors including accuracy, precision, relevance of sensor information etc.The formula for weighted data fusion can be given as follows: where Y is the fused output, Wi is the weight assigned to the i-th sensor, and Xi is the data from the i-th sensor.
Multi-sensor data fusion uses Bayesian filtering for reducing noise or uncertainty of sensor data [12].Given new sensor data, the Bayesian filtering updates the probability distribution of the system's state.It is made up of two parts: prediction and update steps.In the first one, an estimate for current system state is obtained from previous state and a model of the system.Secondly, this estimation is adjusted using new measurements from sensors as well as measurement models.Some mathematical equations associated with Bayesian filtering are shown below: Prediction: where Xt is the state at time t, Z1:t is the sensor data up to time t, P(Xt|Xt-1) is the state transition model, P(Zt|Xt) is the measurement model, and  is a normalization constant.These fusion mathematical algorithms are very important to improve accuracy and reliability of data fusion enhancing perception capabilities of social robots.These algorithms integrate data from multiple sensors so that they can understand the environment better consequently improving elderly care quality.In this regard, there are some healthcare-related cases in which these algorithms can be used more specifically; for instance, Bayesian inference with canonical correlation analysis (CCA) can improve the SSVEP detection accuracy in EEG signals by means of finding steady-state visual evoked potentials (SSVEP) using Bayesian Inference.These applications have potential to improve recognition rate significantly and also it can optimize healthcare delivery through non-invasive brain-computer interfaces [13].

VALUE CO-CREATION IN WENZHOU'S ELDERLY CARE NETWORKS
The concept of value co-creation has gained significant attention in the field of elderly care, particularly with the advent of advanced technologies such as social robotics.Value co-creation is a collaborative process where different stakeholders contribute to improving care outcomes including older people themselves, caregivers, health professionals and traditional Chinese medicine practitioners [14].
It is extremely important in Wenzhou's elderly care networks that need to ensure effective and efficient delivery of care services.With their capability to interact with humans for various purposes, social robots have emerged as possible facilitators that can create value in old age care networks.Towards this end, these machines offer companionship, improve cognition, and provide physical assistance among others thereby enhancing the quality of life for senior citizens while also alleviating burdens from their caregivers [15].The latent classes of demand for home-and community-based integrated care among older Chinese adults indicate that designing services with different sub-models of integrated care is necessary to meet these diversified demands [16].For incorporating social robots into elderly care networks, it is necessary for instance that these robots are both user friendly and reliable yet they must also be adaptable enough so as to meet individual needs since ethical and privacy issues must be considered to ensure safe use [17].
The study was undertaken by the Institute for Public Health and Nursing Research of the University of Bremen among 87 experts to identify problem areas in the care of elderly people in the State of Bremen, Germany leading to development of four main topics; intersectoral management, geriatric care, caring neighborhoods, qualification and training which optimize care services for the elderly in Bremen and provide recommendations for improvement [18].Elderly individuals are at the center of this process as primary beneficiaries whose needs, preferences, and feedback shape design and implementation strategies.For example, insights and research opportunities are offered by the application of IoT and wearable technology in elderly healthcare on how quality life can be improved, strain reduced on healthcare systems as well as minimize operational costs hence allowing healthcare solution designers to enhance care and quality life for older adults [19].In Wenzhou's elderly care networks, various stakeholders involved in the value co-creation process have different and interrelated roles.Both formal and informal caregivers play a vital role in providing support services since their interactions with these people are priceless when it comes to understanding their requirements thereby improving quality service provision.Person-centered care conditions highlight holistic approaches for vulnerable older people who require individualized solutions thus necessitate communicative skills among caregivers with sensitivity towards changes happening within older adult populations alongside knowledge about their life experiences like relational empathy hermeneutic cultural moral narrative competences that should be possessed by them so as to create meaningful connections or provide relevant interventions [20].Healthcare professionals contribute through their expertise in developing effective strategies for providing care while evaluating outcomes achieved afterwards.Multiple impacts both positive as well as negative were revealed through implementing care robots on elderly-care service stakeholders concerning clients' interaction & activity; work atmosphere; meaningfulness work content; professional development (for care personnel) [21].Traditional Chinese Medicine (TCM) practitioners bring an integrative approach towards health promotion practices that complements other stakeholders' efforts due to their unique knowledge and skills.For instance, in China, western medicine (WM) and traditional Chinese medicine (TCM) are widely integrated whereby majority general hospitals plus health centers have TCM departments acting as healthcare providers besides being custodians Chinese cultural heritage [21].

DISCUSSION
With regard to elderly care, the technology park serves as a real-life scenario where social robotics is applied alongside multi-sensor integration using AI algorithms for analysis purposes after which personalized health care advice is given based on results obtained from the data collected thereby enhancing quality of care [23].AI chatbots has been introduced in elderly care digital mental health services since these chatbots interact with old people by providing them with emotional support and preventing their feeling lonely which consequently leads to high levels of satisfaction and increased use of the chatbots [24].Additionally, it is also important to explore how AI can be used in medical education by focusing mainly on medical students who need basic knowledge on medicine both clinical medicine, biostatistics as well as evidence-based medicine among others before getting involved into integrative medicine practice [25].
Some issues have come up during implementation such as individualization, client-centeredness, privacy, self-determination, competence, informed consent, right to know, convenience, and advocacy [26].Therefore, the park can overcome these challenges through several strategies ensuring successful implementation sustainability.The Healthcare AI Technology Park in Wenzhou could become an example for social robotics integrated with multisensor integration practices in elderly care that are focused on value cocreation; ethical considerations; stakeholder involvement providing lessons learnt from similar undertakings in future.

CONCLUSION AND FUTURE DIRECTIONS
The combination of multi-sensor fusion algorithms and social robotics in elderly care networks has a great potential to enhance value co-creation which gives an inclusive understanding of how social robots fit in service contexts such as healthcare and what possible benefits and challenges are associated with their implementation.The significance of value co-creation and co-destruction is also emphasized in the context of implementing service robots into elderly care network hence this study calls for a balanced technology deployment approach that looks at both the advantages it can bring forth and problems that may arise along the way.In addition, this also highlights how user's personal values and social cognition need to be considered when examining the possibility of value co-creation and co-destruction by these agents especially regarding quality services provision within Wenzhou's healthcare settings.
This research enhances elderly care networks quality through mathematical fusion algorithms and social robots for improved care, communication, and collaboration.However, this research may not capture all difficulties or obstacles faced by people due to variety settings thus limiting their applicability beyond diverse contexts where healthcare delivery occurs.The integration of robots and sensors in elderly care is an area that promises much exploration.Consequently, coming up with new ways through which these technologies can be combined together with evaluating their effectiveness within various forms of care provision could turn out being a game changer [27].
It also emphasizes unique interaction challenges present in this field when working on verbal interactions within assistive robotics [28].Future studies should therefore focus on improving these interactions so as to enhance how effective social robots are used for taking care of old adults.At the same time, however, future developments around social robotics and multi-sensor integration for elderly care are full of possibilities that await further investigation and innovation.In light of this, robotic social interactions underline the need for advancement in telepresence technologies that would significantly increase sense of presence and co-presence in elderly care settings [28].In order to improve the acceptance of intelligent elderly care models among the elderly, future research could delve into the factors influencing the acceptance of these models and devise strategies to address them.At the same time, ethical considerations in elderly care robotics also warrant further investigation with an aim of exploring ethical implications associated with using robots within elderly caregiving; thus developing guidelines meant to deal with such implications can help promote responsible use of technology.

Table 1 :
Healthcare and Elderly Care Facilities in WenzhouOverview: Wenzhou aims to become an age-friendly city with good medical and elderly care services.The healthcare industry has grown significantly, benefiting the elderly population.